Abstract: Provided herein is an image-sensing device and a method for auto white balance. An image signal processor is used to perform the method. In the method, an RGBIr photo sensor receives an image with data over red, green and blue channels. The image data over the red, green and blue channel is firstly restored. A series of weights are calculated according to the image data over an infrared channel. The weights are allocated to the image data so as to adjust the infrared ratios over the red, green and blue channels for reducing infrared effect on auto white balance. After that, an infrared weighting calculation is performed for adjusting the infrared values over the red, green and blue channels of the image. A set of white balance gains are obtained. An auto white balance is performed for obtaining a new image with infrared crosstalk compensation.

Abstract: A gaze direction correction method is provided. The method includes: obtaining a first image; obtaining a first gaze feature according to the first image; determining whether the first gaze feature falls within a gaze zone; if the first gaze feature fails to fall within the gaze zone, obtaining, according to the first image, a second image corresponding to the first image and obtaining an eye image corresponding to the second image; obtaining a temporary image by combining the first image and the eye image; and obtaining a face output image by modifying the temporary image.

Abstract: A device interaction method based on an attention direction is provided. The method includes: capturing an input image of a target; determining a plurality of facial features of the target based on the input image; determining an attention angle of the target relative to a reference direction according to the facial features; determining an angle range threshold corresponding to a first display screen relative to the reference direction according to information carrying a distance between the target and the first display screen; determining whether the attention angle matches the angle range threshold; and when the attention angle matches the angle range threshold, determining that an attention direction of the target is directed toward the first display screen and performing a first action, and when the attention angle fails to match the angle range threshold, determining that the attention direction is directed toward a second display screen and performing a second action.

Abstract: A method for processing image noise in a compression process and a circuit system thereof are provided. The circuit system receives an image that is compressed in a specific compression format, and obtains pixel values after the image is decompressed. Differences of pixel values between pixels adjacent to each other can be calculated. A specific area of the image can be divided into multiple sections. A maximum pixel value and a minimum pixel value for each area are used to obtain a regional maximum difference. The regional maximum difference is used to determine whether or not to perform an image-denoising process on the areas such as a flat area or a high-frequency area. Differences among the adjacent pixels can be adjusted according to a weighted average brightness of the adjacent pixels. The image-denoising process is performed on the areas, and an image with reduced noise is finally outputted.

Abstract: A method and a system for compensating an image having fixed pattern noise are provided. The method is adapted to a 4-cell sensor and can automatically calculate appropriate compensation parameters for fixed pattern noise according to non-uniformity of the sensor and lens. Since the defects in the sensor or the lens may cause non-uniform fixed pattern noise, an image is firstly divided into multiple grids and a pixel average of every channel in the grids is calculated. Afterwards, a fixed pattern noise compensation coefficient of every pixel can be calculated according to characteristics of the image formed by the 4-cell sensor. In one aspect, the compensation coefficient of the current pixel can be calculated by extrapolation or interpolation. The fixed pattern noise in the image can be corrected.

Abstract: The present disclosure relates to a semiconductor device, including a first source/drain region, a second source/drain region, a base region, a first electrostatic discharge region and a second electrostatic discharge region. The first source/drain region and the second source/drain region are configured to receive a first power voltage and a second power voltage, and are formed on the base region. The first electrostatic discharge region includes a first doped region and a first well. The first doped region is configured to receive the second power voltage, and formed in the first well. The second electrostatic discharge region includes a second doped region and a second well. The second doped region is configured to receive the first power voltage, and formed in the second well. The first source/drain region and the second source/drain region are disposed between the first electrostatic discharge region and the second electrostatic discharge region.

Abstract: An image processing method is provided, wherein the image processing method includes the steps of: receiving raw image data from an image sensor, wherein the image sensor is a four-cell Bayer sensor, the raw image data includes color information of each pixel, and the color information of each pixel only corresponds to a single color; for a specific pixel to be processed, selecting a region including the specific pixel; referring to a position of the specific pixel to determine whether to flip color information within the region to generate a flipped region; and using color information of at least one portion of pixels within the region or the flipped region to perform an interpolation operation, to generate color information that the specific pixel lacks.

Abstract: An image noise reduction device and method thereof are provided. The method includes: receiving an original image, where the original image includes a plurality of image pixels, each of the image pixels has an image pixel value and a fixed noise value, and the fixed noise value includes a decimal; obtaining a bit-shifted image pixel value, a bit-shifted fixed noise value, and a random number according to a number of bits of the decimal, the image pixel values, and the fixed noise values; obtaining a bit-shifted noise-reduced image pixel value according to the bit-shifted image pixel value, the bit-shifted fixed noise value, the random number, and a reduction equation; obtaining a noise-reduced image pixel value according to the number of bits of the decimal and the bit-shifted noise-reduced image pixel value; and obtaining a noise-reduced image according to the noise-reduced image pixel value.

Abstract: A method for determining and suppressing Moiré pattern, and a circuit system thereof are provided. In the method, a brightness value of pixels of an image can be obtained. For each of the pixels of the image, a detection window is provided for calculating a Moiré pattern response value of a plurality of critical pixels and corresponding adjacent pixels. The critical pixels within the detection window are selected for determining a type of Moiré pattern. After, it is to compare the brightness values of the critical pixels and the corresponding adjacent pixels within the detection window. The comparison results can be used to determine the brightness characteristics of the pixels through a statistical method. Moiré pattern response value and the statistics are used to determine type and position of the Moiré pattern. A color noise suppression process is performed on the pixels to be determined as Moiré pattern.

Abstract: A signal processing device includes a first frame buffer configured to store a first frame, a second frame buffer configured to store a second frame and a processor. The processor is coupled to the first frame buffer and the second frame buffer and is configured to perform a first image processing procedure according to the first frame and the second frame to obtain a super resolution difference value corresponding to each pixel of the first frame, perform a second image processing procedure according to the first frame and the second frame to obtain a noise reduction value corresponding to each pixel of the first frame, selectively add the super resolution difference value and the noise reduction value to the corresponding pixel of the first frame to generate an output frame and store the output frame in the second frame buffer as the second frame.

Abstract: An image processing method is provided, wherein the image processing method includes the steps of: receiving raw image data from an image sensor, wherein the image sensor is a four-cell Bayer sensor, the raw image data includes color information of each pixel, and the color information of each pixel only corresponds to a single color; for a specific pixel to be processed, selecting a region including the specific pixel; referring to a position of the specific pixel to determine whether to flip color information within the region to generate a flipped region; and using color information of at least one portion of pixels within the region or the flipped region to perform an interpolation operation, to generate color information that the specific pixel lacks.

Abstract: The present invention provides an image adjustment method and associated image processing circuit for performing the following operations upon each pixel of an image: obtaining R, G, B values and infrared ray (IR) value corresponding to the current pixel; generating multiple initial compensation parameters corresponding to the R, G, B values; generating an over-compensation parameter according to the R, G, B and IR values; comparing the over-compensation parameter with at least one threshold value to generate a compensation adjustment coefficient; and performing IR crosstalk compensation upon the image with the compensation adjustment coefficient.

Abstract: An image processing method and an electronic device thereof are provided. The image processing method includes performing a color processing procedure on the target pixel and correspondingly obtaining a plurality of first processed pixels.

Abstract: An image adjustment method includes: receiving an image, and retrieving R, G and B values and an infrared ray (IR) value from the image; dividing the image into a plurality of blocks; generating initial compensation coefficients respectively corresponding to the R, G, B and IR values for each block within the blocks; and performing following operations upon each block within the blocks: adjusting initial compensation coefficients of a current block according to a plurality of adjacent blocks next to the current block, in order to generate adjusted compensation coefficients of the current block; and using the adjusted compensation coefficients of the current block to perform IR crosstalk compensation upon the current block.

Abstract: A method for extracting foreground image and electronic apparatus thereof is provided and implements infrared (IR) technology to perform the foreground image extraction to reduce ambient light effect and background noise. Furthermore, the method and electronic apparatus extract an IR light frame image indicating a light state, an IR dark frame image indicating a dark state, and a color image (e.g., RGB image, YUV image, or etc.) at different IR intensities. Then, the method and electronic apparatus calculate the relationship between the IR light frame image and the IR dark frame image to extract a better background image (including the user's face portion, body portion and hair portion) by a simple algorithm.

Abstract: A color adjustment system includes a memory and a processor. The memory stores instructions. The processor is configured to access the instructions to perform the following: accessing an image; providing a control interface having control points distributed thereon, and the plurality of control points defines a plurality of areas on a color plane; in response to one of the control points being moved from a first location to a second location on the color plane, selecting adjusting areas adjacent to the first location, in order to redefine an original chroma in the adjusting areas to an adjusted chroma; and determining whether pixels of the image match the original chroma in the adjusting areas, and displaying the pixels with the adjusted chroma if the pixels are matched to the original chroma.

Abstract: An image adjustment method includes: sequentially processing a plurality of pixels in at least one frame, wherein a pixel under processing is a current pixel, the current pixel and multiple adjacent pixels form a current block, and each current block is performed with following operations: reading a grayscale value of each pixel in the current block; determining a region grayscale value and a region variance of the current block according to the grayscale values of the pixels; generating a variance adjustment parameter via a variance adjustment function, wherein the region grayscale value is a variable of the variance adjustment function; generating an adjusted region variance according to the variance adjustment parameter and the region variance; and comparing the adjusted region variance with a variance threshold to determine whether to perform a noise suppression operation on the current pixel.

Abstract: Provided herein is an image-sensing device and a method for auto white balance. An image signal processor is used to perform the method. In the method, an RGBIr photo sensor receives an image with data over red, green and blue channels. The image data over the red, green and blue channel is firstly restored. A series of weights are calculated according to the image data over an infrared channel. The weights are allocated to the image data so as to adjust the infrared ratios over the red, green and blue channels for reducing infrared effect on auto white balance. After that, an infrared weighting calculation is performed for adjusting the infrared values over the red, green and blue channels of the image. A set of white balance gains are obtained. An auto white balance is performed for obtaining a new image with infrared crosstalk compensation.

Abstract: Disclosed is an image processing method capable of processing facial data and non-facial data differentially. The method is carried out by an image processing device, and includes the following steps: determining a facial region, a non-facial region and a transitional region according to a face detection result of an image, in which the transitional region is between the facial region and the non-facial region; and executing different processes for the data of the facial region, the data of the non-facial region and the data of the transitional region respectively.

Abstract: A contrast adjustment system includes a memory and a processor. The memory stores instructions. The processor is configured to access and execute the instructions to: access an image with a plurality of pixels, wherein the pixels are corresponding to a plurality of intensity values; generate a histogram based on a distribution of the intensity values in a range from an intensity lower bound to an intensity upper bound; divide the histogram into four sub-histograms based on a median value of the intensity values; enlarge the four sub-histograms based on a predetermined parameter; remap the four sub-histograms to form a gamma curve based on a cumulative distribution function; and apply the gamma curve to pixels of another image.