Abstract: Pointers are added to a 3D volumetric dataset to help the user visualize the direction of blood flow. A 3D volume containing at least one blood vessel is created. Next, the direction of the blood flow is determined. Next, at least pointer is placed into the 3D volume in an aligned fashion with the direction of blood flow such that the 3D volume is modified. Next, the modified 3D volume is displayed on a head display unit, such as an augmented reality or virtual reality display. Next, at least one pointer is advanced to a new position for additional modification of the 3D imaging volume.

Abstract: An image processing method includes: acquiring first image data of a first image, the first image data including pixel values of a plurality of pixels in the first image; a first compression-allowed region existing in the first image, obtaining region expression information of the first compression-allowed region, the first compression-allowed region including a region where a plurality of first pixels are located, and a difference between pixel values of any two first pixels in the plurality of first pixels being within a preset range; determining a region pixel value of the first compression-allowed region according to a pixel value of at least one first pixel in the first compression-allowed region; and generating second image data of the first image, the second image data including region expression information and the region pixel value of the first compression-allowed region.

Abstract: An image processing method, an electronic device, and a computer-readable storage medium are provided. In the method, a first image is processed through a U-net to obtain a second image, and the second image is a noise map of the first image. The U-net includes an encoding network, a decoding network, and a bottleneck network between the encoding network and the decoding network. The bottleneck network includes a global pooling layer, a bilinear upscaling layer, and a 1×1 convolutional layer. Moreover, a third image is generated according to the first image and the second image, and the third image is a denoised map of the first image.

Abstract: An apparatus for detecting backlight of image, comprising: a processor configured to convert a pixel value for each of a plurality of image frames based on a first threshold, and block the pixel value into a plurality of block regions to generate a converted frame, generate brightness cumulative data based on the converted frame, determine a block region in which a block value is maximum in the brightness cumulative data as a backlight candidate block region, classify the block regions into first and second regions based on a position of the backlight candidate block region and calculate a backlight score using the sum of block values for the block region of the first region and the sum of block values for the block region of the second region, and determine the image as a backlight image when the backlight score based on a second threshold.

Abstract: A determination unit determines whether a difference between a maximum value and a minimum value of pixel values of a plurality of pixels in a region of interest in N-gradation multi-valued data, where N?4, representing the pixel values of the plurality of pixels is less than a determination threshold value. A generation unit generates M-gradation quantization data represented by an M-gradation quantization value, where 3?M<N, based on the N-gradation multi-valued data and the determination. In a case where the determination unit determines that the difference is less than the determination threshold value, the generation unit generates the M-gradation quantization data so that each of the plurality of pixels corresponding to the region has a value that is one of two consecutive values of the M-gradation quantization values in the generated M-gradation quantization data.

Abstract: An image processing system includes: a first image processing device for performing a first image enhancement process on a source image to generate a first enhanced image; one or more second images processing device, each of which is used to perform a second image enhancement processing on a size-reduced image generated based on the source image, and accordingly to output one or more second enhanced images whose size identical to the source image; and an output controller for analyzing regional frequency characteristics of the source image to generate an analysis result, determining one or more region weights according to the analysis result, and synthesize the first enhanced image with the one or more second enhanced images according to the one or more region weights, thereby to generate an output image.

Abstract: Disclosed and described herein are systems and methods of performing computer-aided detection (CAD)/diagnosis (CADx) in medical images and comparing the results of the comparison. Such detection can be used for treatment plans and verification of claims produced by healthcare providers, for the purpose of identifying discrepancies between the two. In particular, embodiments disclosed herein are applied to identifying dental caries (“caries”) in radiographs and comparing them against progress notes, treatment plans, and insurance claims.

Abstract: A method for providing an output data set as a function of an input data set includes applying an algorithm for reducing image noise to the input data set or an intermediate data set determined as a function of the input data set to determine a noise-reduced signal data set. The method includes determining a noise data set as difference between the input data set or the intermediate data set and the signal data set. The method includes determining a modified noise data set by applying a noise-processing algorithm to the noise data set and/or determining a modified signal data set by applying a signal processing algorithm to the signal data set. The method includes determining an output data set by adding the modified noise data set to the signal data set or the modified signal data set, or adding the noise data set to the modified signal data set.

Abstract: Disclosed and described herein are systems and methods of performing computer-aided detection (CAD)/diagnosis (CADx) in medical images and comparing the results of the comparison. Such detection can be used for treatment plans and verification of claims produced by healthcare providers, for the purpose of identifying discrepancies between the two. In particular, embodiments disclosed herein are applied to identifying dental caries (“caries”) in radiographs and comparing them against progress notes, treatment plans, and insurance claims.

Abstract: Methods and systems for dynamically adjusting the power consumption of an organic light-emitting diode (OLED) panel are disclosed. In embodiments, a histogram of a frame to be displayed is generated, and a weighted dimming curve is generated, with heavier weighting given to mid-tone intensity pixels. High and low intensity pixels are left only minimally adjusted. The curve is then capped and smoothed to prevent artifacts and to preserve image contrast. Each pixel in the frame is then dimmed according to the curve, and the resultant transformed frame is displayed on the OLED panel.

Abstract: A method for smoke reduction in images includes accessing an RGB image of an object obscured by smoke, determining a dark channel matrix of the RGB image, estimating an atmospheric light matrix for the RGB image based on the dark channel, determining a transmission map based on to the atmospheric light matrix and the dark channel matrix, de-hazing the RGB image based on the transmission map to reduce the smoke in the RGB image, and displaying the de-hazed RGB image on a display device. The RGB image includes a plurality of pixels. The dark channel matrix includes, for each pixel of the plurality of pixels, a minimum color component intensity for a respective pixel area centered at the respective pixel. The atmospheric light matrix includes an atmospheric light component value for each of the plurality of pixels.

Abstract: In described examples of a system for outputting a patterned light beam, the system includes: an illumination source; a positive optical element positioned to receive light from the illumination source and to output converging light; a reflective element positioned to receive the converging light from the positive optical element, the reflective element configured to reflect the converging light to form a scan beam; and a negative optical element to receive the scan beam from the reflective element, the negative optical element configured to output the scan beam to a field of view.

Abstract: An information processing apparatus connected to an image forming unit and a reading unit is provided. The apparatus generates image data based on document data described in a page description language, encodes the document data to be multiplexed on the image data, outputs the image data to the image forming unit, restores the multiplexed document data from the image data read by the reading unit, and saves the image data read by the reading unit and the document data restored by a restoration unit.

Abstract: The present disclosure provides a A driving method of a display panel, including: determining a target region and a non-target region in the display panel; dividing the target region into a plurality of target sub-regions, and dividing the non-target region into a plurality of non-target sub-regions, wherein an area of the target sub-region is less than that of the non-target sub-region; determining brightness compensation values of each target sub-region and each non-target sub-region according to a gray scale value of each pixel in an input image; determining a compensated brightness of each pixel unit in the display panel according to the gray scale value of each pixel in the input image, the brightness compensation values of each target sub-region and each non-target sub-region; and driving each pixel unit in the display panel to emit light according to the compensated brightness of each pixel unit in the display panel.

Abstract: The present disclosure relates to normalizing pixel intensity values of images. Qualitative images which have to be compared need to have actual pixel intensity values in a suitable range. Generally, the qualitative images to be compared are made to appear visually similar by adjusting display settings. First and second images having different actual pixel intensity values but appearing visually same are received. One or more normalized parameters are determined and using one or more contrast and illumination parameters associated with the first and second image. Thereafter, normalized pixel intensity values are determined using the one or more normalized parameters and a normalized image is generated. The pixel intensity values of the normalized image can be compared with actual pixel intensity values of the first image or second image.

Abstract: The present disclosure relates to a data processing method, and more specifically, to a digital image processing method to enable a rapid noise-suppressed contrast enhancement in an optical linear or nonlinear microscopy imaging application. The disclosed method digitally mimics a hardware-based feedback-driven adaptive or controlled illumination technique by means of digitally resembling selective laser-on and laser-off states so as to selectively optimize the signal strength and hence the visibility of the weak-intensity morphologies while mostly preventing saturation of the brightest structures.

Abstract: Enhanced training data representative of possible inputs is used to train a machine learning system. For example, a machine learning system to determine identity based on an image of a human palm may be trained using enhanced training data comprising images. The enhanced training data may comprise source images that have been modified to appear to depict synthetic artifacts that attempt to simulate human palms, augmented images of dirty hands, and so forth. A synthetic artifact image may be produced by selectively removing some data from a source image. An augmented image may be produced by selectively blending the source image with features extracted from sample images. These images may then be used as training data to train the machine learning system.

Abstract: Innovations in control and use of chroma quantization parameter (“QP”) values that depend on hum QP values. More generally, the innovations relate to control and use of QP values for a secondary color component that depend on QP values for a primary color component. For example, during encoding, an encoder determines a QP index from a primary component QP and secondary component QP offset. The encoder maps the QP index to a secondary component QP, which has an extended range. The encoder outputs at least part of a bitstream including the encoded content. A corresponding decoder receives at least part of a bitstream including encoded content. During decoding, the decoder determines a QP index from a primary component QP and secondary component QP offset, then maps the QP index to a secondary component QP, which has an extended range.

Abstract: Innovations in control and use of chroma quantization parameter (“QP”) values that depend on luma QP values. More generally, the innovations relate to control and use of QP values for a secondary color component that depend on QP values for a primary color component. For example, during encoding, an encoder determines a QP index from a primary component QP and secondary component QP offset. The encoder maps the QP index to a secondary component QP, which has an extended range. The encoder outputs at least part of a bitstream including the encoded content. A corresponding decoder receives at least part of a bitstream including encoded content. During decoding, the decoder determines a QP index from a primary component QP and secondary component QP offset, then maps the QP index to a secondary component QP, which has an extended range.

Abstract: Innovations in control and use of chroma quantization parameter (“QP”) values that depend on luma QP values. More generally, the innovations relate to control and use of QP values for a secondary color component that depend on QP values for a primary color component. For example, during encoding, an encoder determines a QP index from a primary component QP and secondary component QP offset. The encoder maps the QP index to a secondary component QP, which has an extended range. The encoder outputs at least part of a bitstream including the encoded content. A corresponding decoder receives at least part of a bitstream including encoded content. During decoding, the decoder determines a QP index from a primary component QP and secondary component QP offset, then maps the QP index to a secondary component QP, which has an extended range.

Abstract: The invention relates to digital video image processing. In particular, the invention provides methods, systems and computer program products that optimize processes for generation of high dynamic range output video streams by optimizing the processes of parsing or extracting information from multiple input image frames and combining the multiple input image frames into a composite high dynamic range output video frames.

Abstract: Disclosed are an image capture scene recognition control method and apparatus and an image capture device. The method comprises the following steps: obtaining a preview image of a current image capture scene collected by an image capture device; extracting a brightness component of the preview image, and obtaining brightness component information of the preview image; obtaining a distribution estimation of the brightness component information and a desired ideal brightness distribution; determining the relative entropy between the distribution estimation of the brightness component information and the desired ideal brightness distribution; according to the relative entropy, determining whether the current image capture scene is a shaded image capture scene; when determined that the current image capture scene is a shaded image capture scene, controlling the image capture device such that the light source of the image capture device compensates the light source in the shaded image capture scene.

Abstract: There are many instances where a standard dynamic range (“SDR”) overlay is displayed over high dynamic range (“HDR”) content on HDR displays. Because the overlay is SDR, the maximum brightness of the overlay is much lower than the maximum brightness of the HDR content, which can lead to the SDR elements being obscured if those elements have at least some transparency. The present disclosure provides techniques including modifying the luminance of either or both of the HDR and SDR content when an SDR layer with some transparency is displayed over HDR content. A variety of techniques are provided. In one example, a fixed adjustment is applied to pixels of one or both of the SDR layer and the HDR layer. The fixed adjustment comprises decreasing the luminance of the HDR layer and/or increasing the luminance of the SDR layer. In another example, a variable adjustment is applied.

Abstract: System and method are provided for encoding a frame of 3D media content. The systems accessing voxel geometry information for a first frame and trains a neural network based on the voxel geometry information, such that the neural network is configured to receive a coordinate of a voxel and output color attributes information for the voxel. The trained neural network comprises a plurality of weights for each layer of the neural network. The system converts weights of each respective layer of the first neural network into a respective first intermediary matrix. And then each respective first intermediary matrix is decomposed to create a respective first decomposition data that compromises a plurality of components that approximate the respective first intermediary matrix when combined. The system then generates encoding data for the first frame by storing each respective decomposition data for each respective first intermediary matrix.

Abstract: An image processing apparatus includes an image processing unit configured to generate a second image obtained by performing predetermined image processing on a first image representing an input image, a determination unit configured to determine a luminance correction range on the basis of image information in one of a high luminance range and a low luminance range determined in accordance with the image processing, and a luminance correction unit configured to correct a luminance value in the luminance correction range determined by the determination unit for the second image.

Abstract: An image processing method includes obtaining a target picture and an initial tone mapping curve of the target picture, determining a plurality of interpolation points based on luminance information and/or dynamic metadata of the target picture, and determining a spline function that passes through the plurality of interpolation points, where the spline function is smoothly connected to the initial tone mapping curve at at least one of the plurality of interpolation points the initial tone mapping curve is modified based on the spline function to obtain a modified tone mapping curve of the target picture; and tone mapping is performed on the target picture based on the modified tone mapping curve. This image processing apparatus enables a display device to vividly and realistically reproduce a scene in a real world.

Abstract: The technical problem of removing an object depicted in a selected region of an image to create a natural-looking edited image is addressed by providing systems, methods, and computer-readable storage media to perform automatic image inpainting. The method includes replacing the selected region using a color mask. A color mask can be generated using a mean color of pixels from a portion of the image that is distinct from and outside of the selected region.

Abstract: A mobile device can implement a neural network-based style transfer scheme to modify an image in a first style to a second style. The style transfer scheme can be configured to detect an object in the image, apply an effect to the image, and blend the image using color space adjustments and blending schemes to generate a realistic result image. The style transfer scheme can further be configured to efficiently execute on the constrained device by removing operational layers based on resources available on the mobile device.

Abstract: This disclosure provides systems, methods, and devices for image signal processing. In a first aspect, a method of image processing includes controlling an image sensor to capture image data for determining a standard dynamic range (SDR) representation of a scene, the image data comprising a first series of image frames captured with a first exposure level and a second series of image frames captured at a second exposure level. The SDR representation of the scene may be generated by determining a first output image frame based on at least a first image frame of the first series of image frames. Determining of an exposure level for the image sensor during the SDR image capture may be based on a second image frame of the second series of image frames captured by the image sensor in a multi-frame sensor configuration. Other aspects and features are also claimed and described.

Abstract: An image processing method and system, and a computer readable storage medium. The method comprises: obtaining an image to be processed (S101); performing grayscale processing on the image to be processed to obtain a grayscale image, and performing blurring processing on the image to be processed to obtain a first blurred image (S102); performing binarization processing on the image to be processed according to the grayscale image and the first blurred image to obtain a binarized image (S103); performing expansion processing on grayscale values of high-value pixel points in the binarized image to obtain an expanded image (S104); performing sharpening processing on the expanded image to obtain a sharp image (S105); adjusting the contrast of the sharp image to obtain a contrast image (S106); and using the grayscale image as a guided image to perform guided filter processing on the contrast image to obtain a target image (S107).

Abstract: The invention relates to a method and a device for generating microscopic layer images of 3-dimensional fluorescent objects, the layer images being largely freed from interference signals from other planes. A first region of a sample is subject to a regular illumination pattern formed by a plurality of light islands, with spacing such that the excitation intensity outside the island regions approaches zero. The emission signal emitted by the sample is detected to generate a raw image of the region. The raw image being subject to interpolation of first interference signals from regions outside the illumination islands. Generating a 2-dimensional interference signal map from the interpolated interference signals; and, generating an emission image, freed from interference signals, of the object by subtracting the 2-dimensional interference signal map from the detected emission signal.

Abstract: The present disclosure relates to systems, vehicles, and methods for detecting optical defects in an optical path of a camera system. An example system may include an image sensor configured to provide images of a field of view via an optical path that extends through an optical window. The system also includes at least one phase-detection device and a controller. The controller is configured to execute instructions stored in the memory so as to carry out various operations, including receiving, from the image sensor, first pixel information indicative of an image of the field of view. The operations additionally include receiving, from the at least one phase-detection device, second pixel information indicative of a portion of the field of view. The operations yet further include determining, based on the first pixel information and the second pixel information, at least one optical defect associated with the optical path.

Abstract: An image processing method including obtaining image data. The image data includes a plurality of image data values. The image processing method also includes processing the image data, thereby generating output data. Processing the image data includes applying a convolution operation to the plurality of image data values using a kernel including a plurality of coefficients. Applying the convolution operation includes obtaining a sum of image data values of the plurality of image data values that correspond respectively to coefficients of the plurality of coefficients that each have a common coefficient value. Applying the convolution operation also includes multiplying the sum by the common coefficient value.

Abstract: A method for image fusion may include obtaining a first image including a plurality of first pixels and a second image including a plurality of second pixels. Each of the plurality of second pixels may correspond to one of the plurality of first pixels. The method may further include classifying the plurality of first pixels into different categories which at least includes a first category and a second category. The method may further include fusing the first image with the second image based on a fusion operation between each of the plurality of first pixels and its corresponding second pixel to generate a fused image. The fusion operation associated with a first pixel belonging to the first category and the fusion operation associated with a first pixel belonging to the second category are performed according to different fusion rules.

Abstract: An optically readable marker comprises a dash and two dots arranged in a pattern to allow detection of the marker, wherein the dash and dots are collinear, and wherein the dots are of the same size and shape and adjacent to each other. Multiple such optically readable markers may be combined into a composite marker, optionally with one element (i.e. a dash or a dot of the marker) being at least partially shared between two or more markers.

Abstract: An apparatus for generating an HDR image includes an input image generator that generates a first image and a second image and an HDR image generator that generates a high dynamic range (HDR) in which a dynamic range of an original image is extended from the first image and the second image using a pre-trained model including a first neural network, a second neural network, and a third neural network, in which the first neural network is pre-trained to output a third image, the second neural network is pre-trained to output a fourth image and the third neural network is pre-trained to generate the HDR image based on the third image and the fourth image.

Abstract: A method for generating a high-dynamic-range (HDR) image includes (a) denoising a short-exposure-time image, wherein the denoising comprises applying a first guided filter to the short-exposure-time image, the guided filter utilizing a long exposure-time-image as its guide, (b) after the step of denoising, scaling at least one of the short-exposure-time image and the long-exposure-time image to place the short-exposure-time image and the long-exposure-time image on a common radiance scale, and (c) after the step of scaling, merging the short-exposure-time image with the long-exposure-time image to generate the HDR image.

Abstract: Embodiments of this disclosure include a training method for an image processing model. In the method, parameters of an encoder in the image processing model are updated according to a to-be-replaced face in an original image, to configure the encoder to encode the to-be-replaced face to obtain a visual feature of the to-be-replaced face. Parameters of a decoder in the image processing model are updated according to the to-be-replaced face in the original image, to configure the decoder to perform decoding based on the visual feature of the to-be-replaced face. The parameters of the decoder are further updated according to a target face in a target image without changing the parameters of the encoder, to configure the decoder to perform decoding based on the visual feature of the to-be-replaced face and obtain a target face having the same visual feature as the to-be-replaced face.

Abstract: In an image processing system in which development processing is applied to a RAW image in a server apparatus and results thereof are provided to a client terminal, the capacity of image data that is transmitted to the client terminal is reduced. The client terminal applies low-load development processing to an input RAW image and stores and displays the results image thereof. On the other hand, the server generates a difference image between both results images by applying the low-load and high-load development processing and provides the difference image to the client terminal. Then, based on the difference image, the client terminal reproduces a results image of the high-load development processing.

Abstract: Provided is a method for compensating a displayed picture in a display screen. The display screen includes a plurality of regions, each of the plurality of regions including a plurality of pixels; the method includes: determining transformation matrices corresponding to pixels in the plurality of regions based on texture complexities of pictures to be displayed in the plurality of regions; acquiring compensated grayscales by compensating grayscales of pixel points in the pictures to be displayed in the plurality of regions based on the transformation matrices corresponding to the pixels in the plurality of regions.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for dynamic tone mapping of video content. An example embodiment operates by identifying, by a dynamic tone mapping system executing on a media device, characteristics of a first video signal having a first dynamic range based on a frame-by-frame analysis of the first video signal. The example embodiment further operates by modifying, by the dynamic tone mapping system, a tone mapping curve based on the characteristics of the first video signal to generate a modified tone mapping curve. Subsequently, the example embodiment operates by converting, by the dynamic tone mapping system, the first video signal based on the modified tone mapping curve to generate a second video signal having a second dynamic range that is less than the first dynamic range.

Abstract: Disclosed herein is a system and method for augmenting data by generating a plurality of pose-altered images of an item from one or more 2D images of the item and using the augmented data to train a train a feature extractor. In other aspects of the invention, the trained feature extractor is used to enroll features extracted from images of new products in a library database of known products or to identify images of unknown products by matching features of an image of the unknown product with features stored in the library database.

Abstract: A system and method for product photography includes a movable display configured to travel along a path wherein the movable display provides illumination onto a photographic subject visible to at least one camera configured for long exposure photography where the movable display creates one or more digital light paintings at least partially visible to the camera, and a mechanical means for movement of the movable display. The invention employs a method of capturing a photographic image of an object including the steps of selecting an image for the movable display, using at least one camera to capture long exposure images, positioning one or more photographic subjects, positioning one or more cameras, focusing the one or more cameras, beginning capture of a long exposure, using a movable display to create a digital light painting effect, ending capture of the long exposure, and storing the image in memory.

Abstract: An image processing method includes: generating two images by performing two image enhancement processes for a microscopic image; and generating a corrected image obtained by compositing the two images, wherein the generating the two images includes generating a high-frequency enhanced image in which high-frequency components of the microscopic image are enhanced relative to low-frequency components of the microscopic image that have a lower frequency than the high-frequency components, and generating a microstructure enhanced image in which a microstructure in an observation sample included in the microscopic image is enhanced.

Abstract: A method for enhancing digital imagery. The method comprises receiving a linear, intensity-based image of an environment. A histogram of intensity values is generated for a plurality of pixels within the linear, intensity-based image. Based on the histogram of intensity values, local contrast enhancement is applied to the linear, intensity-based image to generate a contrast enhanced version of the linear, intensity-based image, and artificial colorization is applied to the linear, intensity-based image to generate an artificially colorized version of the linear, intensity-based image. A composite image of the environment is then generated based on at least a portion of the contrast enhanced version of the linear, intensity-based image and at least a portion of the artificially colorized version of the linear, intensity-based image.

Abstract: The invention relates to an image capturing device (1) comprising an image sensor (9) making it possible to obtain both an infrared image (31) and an image in the visible range (35) by means of an array of elementary optical filters comprising first optical filters, which are at least partially transmissive in the infrared range, and second optical filters which are at least partially transmissive in the visible range. The image capturing device comprises a calculator (12) which is programmed to control the image sensor to perform two shots, one being exposed according to an ambient brightness in the infrared range for obtaining the first image and the other being exposed as a function of an ambient brightness in the visible range for obtaining the second image. The invention also relates to a system for monitoring a driver (3), comprising such an image capturing device.

Abstract: Multiple images are continuously captured based on a photographing instruction. Multiple processed images without ghosts are obtained based on the multiple images. A fused image is obtained by inputting the multiple processed images without ghosts into an image fusion model. Noise of the fused image is lower than noise of any one of the multiple images, and a resolution of the fused image is higher than a resolution of any one of the multiple images. A target image is obtained and output by performing image enhancement processing on the fused image.

Abstract: The present application discloses a coding pattern, coding and reading methods for the same, a calibration board, and a calibration method. In the present application, the coding pattern comprises four positioning blocks, wherein three of the positioning blocks are located at three corner portions of the coding pattern, and the remaining positioning block only contacts one edge of the coding pattern, thereby forming an asymmetrical distribution configuration of the four positioning blocks. The invention can replace a two-dimensional code standard in the related art, saving the licensing and manufacturing costs of using two-dimensional code generation software in the related art, and is not subject to usage restrictions of the two-dimensional code generation software in the related art.

Abstract: The present disclosure is directed to a computer system designed to (i) receive a series of images as input; (ii) compute a number of metrics derived from focus features and color separation features within the images; and (iii) evaluate the metrics to return (a) an identification of the most suitable z-layer in a z-stack, given a series of z-layer images in a z-stack; and/or (b) an identification of those image tiles that are more suitable for cellular based scoring by a medical professional, given a series of image tiles from an area of interest of a whole slide scan.

Abstract: The invention provides an ambient light sensing device which receives at least one visible light image sensed by an image sensor. The ambient light sensing device includes an image sampling unit and an analyzing unit. The image sampling unit divides the visible light image into plural image blocks, extracts at least one sample data in each image block, and generates a comparison data according to a difference between the sample data extracted at different time points. The analyzing unit analyzes the comparison data and generates an output analysis signal accordingly.