Abstract: An object detection system includes at least one memory storing instructions, and at least one processor that, upon executing instructions stored in the memory, controls the object detection system to perform functions including inputting a first video frame and a second video frame from a camera; generating a first set of predicted object locations using only one of the first video frame and the second video frame; generating a second set of predicted object locations based on pixel differences between the first video frame and the second video frame; and determining a final set of object locations based on the first set of predicted object locations and the second set of predicted object locations.

Abstract: A biometric information detecting device includes a measurer, a determiner, a controller, and a processor. The measurer measures biometric information of a user as an electrical signal. The determiner is connected to the measurer to receive the electrical signal, processes the electrical signal according to a first reference condition to output a first result signal, and processes the electrical signal according to a second reference condition to output a second result signal. The controller controls the determiner such that the determiner is operated in the first reference condition or the second reference condition, and the processor processes the first and second result signals to obtain the biometric information of the user.

Abstract: A computerized device provides microscopy and electrochemistry tests, performed in dual channels. The device can be brought to the field, for on-site testing with instant results. The dual channels include an imaging channel and a signal channel.

Abstract: An imaging device includes a first transmission line connected to a plurality of bit memories, a plurality of second bit memories disposed outside the memory area, and connected to the first transmission line, and each are configured to hold a digital signal of one bit that is one of different bits among a plurality of bits, a second transmission line connected to a part of the plurality of second bit memories, and a third transmission line connected to another part of the plurality of second bit memories.

Abstract: Image sensor systems and methods that mitigate the effects of electronic image sensor persistence are provided. The mitigation of persistence is achieved by flooding the pixels of the image sensor with light, saturating all of the pixels, prior to the collection of desired image data. Moreover, after saturating the pixels, but prior to collecting the desired image, the image sensor is reset and operated to take an image of a black scene. Due to persistence from the prior saturation step, the image of the black scene appears as a gray image. The image sensor is then optionally reset and is again saturated. After another reset operation, a desired image is obtained. The gray image is then subtracted from the desired image, to substantially correct for the effects of persistence in that image.

Abstract: An image capture apparatus includes a photoelectric conversion unit, an acquisition unit, a first amplification unit, a second amplification unit, and an amplification factor control unit. The photoelectric conversion unit is configured to convert an optical image into an image signal. The acquisition unit is configured to acquire a value related to a correct exposure on a basis of the image signal converted from the optical image by the photoelectric conversion unit. The first amplification unit is configured to amplify the image signal with a first amplification factor. The second amplification unit is configured to amplify the image signal with a second amplification factor. The amplification factor control unit is configured to change the first amplification factor or the second amplification factor based on the value related to the correct exposure.

Abstract: An imaging device includes a first transmission line connected to a plurality of bit memories, a plurality of second bit memories disposed outside the memory area, and connected to the first transmission line, and each are configured to hold a digital signal of one bit that is one of different bits among a plurality of bits, a second transmission line connected to a part of the plurality of second bit memories, and a third transmission line connected to another part of the plurality of second bit memories.

Abstract: A non-transitory computer-readable recording medium for an information processing apparatus contains instructions which cause, when executed by a controller, the information processing apparatus to perform identifying a sheet size of a sheet which is used for printing based on identifying data, the identifying data being received through the input interface and identifying the sheet size based on the received identifying data, receiving image data which is output by the application, when the received image data represents an image in which a first object is arranged, when the size of the image is a first size, and when the identified sheet size is a second size, extracting object image data representing the first object from the image data received in the receiving process, generating printing data, and outputting the generated printing data to be transmitted to the printer through the communication interface.

Abstract: The technique of the present disclosure is capable of improving the character recognition accuracy of character recognition processing on an image to be printed. Provided is an image generation apparatus having: at least one memory that stores a program; and at least one processor that executes the program to perform: making a change for character recognition processing to at least one of a print setting for print data representing a print target image and intermediate data generated from the print data; and rendering intermediate data generated from the print data on a basis of the print setting to which the change for the character recognition processing has been made, or rendering the intermediate data to which the change for the character recognition processing has been made to thereby generate image data suitable for the character recognition processing.

Abstract: An image readjustment system featuring a communication interface, one or more processors, and a persistent storage. The persistent storage is communicatively coupled to the one or more processors. The persistent storage comprises at least image location logic and image cropping logic. The image location logic is configured to receive and analyze an incoming image, using a machine learning analysis, to determine a location of a particular component within the incoming image and to calculate coordinates of a boundary area surrounding the particular component. The image cropping logic is configured to remove portions of the incoming image outside of the boundary area to generate a modified image to be rendered for display.

Abstract: An imaging device includes a first transmission line connected to a plurality of bit memories, a plurality of second bit memories disposed outside the memory area, and connected to the first transmission line, and each are configured to hold a digital signal of one bit that is one of different bits among a plurality of bits, a second transmission line connected to a part of the plurality of second bit memories, and a third transmission line connected to another part of the plurality of second bit memories.

Abstract: The present disclosure is generally directed to systems and methods for executing optical character recognition faster than at least some traditional OCR systems, without sacrificing recognition accuracy. Towards this end, various exemplary embodiments involve the use of a bounding box and a grid-based template to identify certain unique aspects of each of various characters and/or numerals. For example, in one embodiment, the grid-based template can be used to recognize a numeral and/or a character based on a difference in centerline height between the numeral and the character when a monospaced font is used. In another exemplary embodiment, the grid-based template can be used to recognize an individual digit among a plurality of digits based on certain parts of the individual digit being uniquely located in specific portions of the grid-based template.

Abstract: A method for filtering radiation on a CCD based camera inspection video, the method including: capturing video signals via the camera; converting the video signals to a plurality of digital video frames; identifying radiation bright spots, defined as xnoids, in a pixel of at least one of the frames, replacing the xnoids and surrounding pixels with corresponding pixels of another of the frames to create a filtered frame. A system for the inspection of a nuclear power plant comprising: a camera; and a computer, the computer configured to execute identifying xnoids in a pixel of at least one digitized video frame and replacing the xnoids and surrounding pixels with corresponding pixels of another of the frames to create a filtered frame.

Abstract: Disclosed herein are systems and methods for automatic detection of clinical relevance of images of an anatomical situation. The method includes comparing a first image and a second image and determining whether a difference between the first and second images is at least one of a local type difference and a global type difference. The local type difference is a local difference of the first image and the second image and the global type difference is a global difference between the first image and the second image. The second image is determined as having a clinical relevance if it is determined that the difference between the first image and the second image comprises a local type difference.

Abstract: There is provided an image capturing apparatus comprising an image capturing unit. A control unit controls the image capturing unit to capture a first image having exposure unevenness caused by flicker in a light source. A detection unit detects a timing at which there is a low change in a light amount caused by the flicker, based on the exposure unevenness in the first image. An accepting unit accepts an image capturing instruction. The control unit controls the image capturing unit to capture a second image at the detected timing in response to the image capturing instruction.

Abstract: Missing region prediction techniques are described. In implementations, an image pair is obtained that includes first and second images. The first image is corrupted by removing a region of content, resulting in a corrupted image having a missing region. The corrupted image and the second image of the image pair are then used to generate a training-image pair. Then, based on a plurality of training-image pairs including the generated training-image pair, a model is trained using machine learning. The model can subsequently be used to predict pixel values of pixels within a subsequent missing region of a subsequent image that is not used as part of the training.

Abstract: An image generating apparatus for image generation is provided. The image generating apparatus includes a movable detector for detecting nuclear radiation during a detection period and an evaluation system. The evaluation system includes an interface system for transmitting detector data to the evaluation system. The detector data include information about the detected radiation for image generation. The evaluation system further includes a data memory portion for storing the detector data. The evaluation system further includes a program memory portion with a program for repeatedly determining at least one quality value with respect to image generation during the detection period.

Abstract: System and method for regulating a power conversion system. An example system controller includes a signal processing component and a driving component. The signal processing component is configured to receive a feedback signal associated with an output signal of a power conversion system and generate a processed signal based on at least information associated with the feedback signal. The driving component is configured to generate a drive signal based on at least information associated with the processed signal and output the drive signal to a switch in order to affect a primary current flowing through a primary winding, the drive signal being associated with a demagnetization period corresponding to a demagnetization process of the power conversion system. The signal processing component is further configured to, sample and hold the feedback signal a plurality of times during the demagnetization period to generate a plurality of sampled and held signals.

Abstract: A technique is provided for processing decoded video data to mask visual compression artifacts resulting from video compression. In accordance with this technique, a hardware block is provided for generating and adding random noise to the decoded video stream. In one embodiment, a random number is generated for each pixel of the decoded video data and compared against one or more threshold values to determine a threshold range. In such an embodiment, a noise addend value is selected based upon the threshold comparison and summed with the current pixel. While the present technique may not eliminate the compression artifacts, the addition of random noise renders the compression artifacts less noticeable to the human eye and, therefore, more aesthetically pleasing to a viewer.

Abstract: A solid-state image pickup device 1A includes an image pickup section 2 having a pixel array P in which a pixel C is two-dimensionally arranged, a lens section 3 having a plurality of lenses 3a arranged on the pixel array P, and an image generating section 4A for generating an image by using an electrical signal SE. The image pickup section 2 has a plurality of the pixel arrays P including one image pickup region T. The image generating section 4A generates the image by averaging the electrical signals SE for each pixel C corresponding to one another among the image pickup regions T, in order to reduce noise present in the electrical signal SE.

Abstract: The invention is a printed material on which a two-dimensional code that can be read by a terminal and from which information for specifying contents reproduced by terminal can be acquired is displayed. Two-dimensional code displays a frame portion from which information about position and attitude of terminal can be acquired by terminal and a code portion configured by rotational state display dots 151, 152, 153, and 154 and 20 dots specifying contents to be reproduced by terminal. The 20 dots of the code portion and rotational state display dots are arranged on upper and lower dot portions sandwiching a dot nondisplay portion displaying a character, pictorial symbol, and the like. Rotational state display dots 151, 152, 153, and 154 show rotational position state of the terminal with respect to the two-dimensional code, and displays pattern information.

Abstract: A method and apparatus for the imaging of a labeled biological sample. The method comprises illuminating the labeled biological sample, generating members of a time series of images if the labeled biological sample, generating a plurality of difference images between later members of the time series of images of earlier members of the time series of images and combining the plurality of difference images to generate a final image of the labeled biological sample.

Abstract: Compact descriptors of digital images are produced by detecting interest points representative of the digital images and selecting out of the interest points key points for producing e.g. local and global compact descriptors of the images. The digital images are decomposed into blocks by computing an energy (variance) for each said block and then subjecting the blocks to culling by rejecting those blocks having an energy failing to pass an energy threshold. The interest points are detected only in the blocks resulting from culling, and the key points for producing the compact descriptors are selected out of the interest points thus detected, possibly by using different selection thresholds for local and global compact descriptors, respectively. The number of key points for producing the compact descriptors may be varied e.g. by adaptively varying the number of the interest points detected in the blocks resulting from culling.

Abstract: An anti-aliasing font character on a monitor is prevented from being erroneously judged as an image region. The pixel of interest and four pixels each preceding and following the pixel of interest (a total of nine pixels) are extracted (S3). The largest of the values of the sub-pixels of each of the nine pixels extracted is determined as the representative value of each pixel (step S5). The nine representative values are represented as a histogram and referred to as H0, H1, H2, and the like in the descending order of the frequency in the distribution (S7). Whether Formula (1) below is satisfied is determined (S9). H0+H1+H2<TH . . . (1) If Formula (1) is satisfied, the pixel of interest is judged as a non-character-region pixel; if not, the pixel of interest is judged as a character-region pixel (S11, S13).

Abstract: A computer implemented method for generating a representative thumbnail for an image. The method comprises determining a representative area of an image, the determining comprising determining an absence of faces in the image; dividing the image into one or more zones; and selecting a zone with maximum edge strength as the representative area; and generating a thumbnail by cropping the image to the representative area.

Abstract: An image processing device of the present invention acquires the positional information of a boundary line for a case where a first image is segmented into a foreground and a background by a segmentation processing that segments an image into a foreground and a background, and controls the segmentation processing to segment a second image having a predetermined relationship with the first image by use of the positional information of the acquired boundary line.

Abstract: Long-term understanding of background modeling includes determining first and second dimension gradient model derivatives of image brightness data of an image pixel along respective dimensions of two-dimensional, single channel image brightness data of a static image scene. The determined gradients are averaged with previous determined gradients of the image pixels, and with gradients of neighboring pixels as a function of their respective distances to the image pixel, the averaging generating averaged pixel gradient models for each of a plurality of pixels of the video image data of the static image scene that each have mean values and weight values. Background models for the static image scene are constructed as a function of the averaged pixel gradients and weights, wherein the background model pixels are represented by averaged pixel gradient models having similar orientation and magnitude and weights meeting a threshold weight requirement.

Abstract: A method for reducing spatial noise of images includes the following steps. A target pixel is obtained and an operating block is built accordingly. Pixel values of the target pixel and multiple neighboring pixels in the operating block are operated to obtain a variance corresponding to the operating block. Whether the target pixel is characteristic is judged according to the variance. If the target pixel is not characteristic, the multiple pixels in the operating block are filtered to obtain a modulated pixel value. The pixel value of the target pixel is updated to the modulated pixel value.

Abstract: A method is provided that includes identifying a plurality of data sets, each data set is associated with a distribution model and each data set is associated with an image having a first noise level. The method includes partitioning the data sets into a plurality of groups and generating a best representative estimate for each group, the estimate is associated with a second noise level that is less than the first noise level. The method further includes annotating each group and receiving an input data set. The method includes assigning the input data set to a group and annotating the input data set according to that group's annotation.

Abstract: A threshold matrix generating method includes: generating q(x, y, g) in which the number of dots in an initial dot pattern is varied; calculating an error matrix (ERR(x, y, g)) of q(x, y, g); calculating AVE(a, b) representing the uniformity of the number of dots in discrete blocks into which the dot pattern has been divided; determining two pixels, of which the dot positions are to be swapped, on the basis of ERR (x, y, g) and AVE(a, b); swapping the dot positions; calculating the evaluation value (MSE(n)) of q(x, y, g) after the positional swapping; and repeating the positional switch of the dots repeating the generation of q(x, y, g) and the positional swapping of the dots with q(x, y, g) functioning as the initial dot pattern until a q(x, y, g) satisfying MSN(n)<MSN(n?1) is obtained.

Abstract: A computer-implemented method for automatically retrieving information regarding optical properties of a scattering medium including receiving a first digital image and a first image quality value associated with the first digital image and sharpness of an edge of the first digital image, producing an optimized image, transforming the optimized image into an optimized optical transfer function, receiving a second digital image and a second image quality value associated with the second digital image and sharpness of an edge of the second digital image, identifying either the first or second digital image as an optimized digital image, and transforming the optimized optical transfer function into an optimized value of the optical parameter.

Abstract: An automatic process for calibrating the optical image exposure value to compensate for changes in machine vision systems to maintain optimal exposure of captured images and adjust for the different characteristics among cameras components, such as imaging sensor sensitivity, LED strength, external lighting, reflective functions of any background material, different external lighting conditions, possible changes or updates of the systems over the years, such as LED changes, and even the aging of camera sensor and LEDs over time. A series of images of a target are captured with a predetermined sequence of exposure values, the saturation exposure percentage of a region of interest is calculated in each of the images, and the saturation exposure percentages are compared to determine the exposure value that has a saturation exposure percentage that varies the least from the saturation exposure value of the preceding and following exposure values.

Abstract: Systems and methods of bad pixel cluster detection are disclosed. In a particular embodiment, a system is disclosed that includes a bad pixel correction module coupled to receive image data and adapted to perform a bad pixel cluster detection process. The bad pixel correction module includes logic to determine whether two test pixels have values that exceed a representative value of a group of surrounding pixels by more than a threshold amount. The threshold amount is determined via a table lookup.

Abstract: A method and apparatus are provided for adaptive sharpness enhancement of image data. In on embodiment, a method for sharpness enhancement includes receiving image data for a first frame, performing linear sharpening enhancement of the image data, performing non-linear sharpening enhancement of the image data, and generating blending parameters based on the image data. The blending parameters may be generated based upon image data of the first frame, linear sharpened image data for the first frame, and non-linear sharpened image data for the first frame. The method may further include blending the image data of the first frame, the linear sharpened image data, and the non-linear sharpened image data based upon the blending parameters.

Abstract: The present disclosure includes systems and techniques relating to processing of high resolution images, such as digital painting on high resolution images. In general, one aspect of the subject matter described in this specification can be embodied in a method that includes receiving input defining a modification to a target image; determining, at a first processor, a low resolution proxy result of the modification applied to the target image; determining, at a second processor, a higher resolution result of the modification applied to the target image; displaying the low resolution proxy result before completion of the determining at the second processor; and updating the displayed low resolution proxy result with the higher resolution result. Other embodiments of this aspect include corresponding systems, apparatus, and computer program products.

Abstract: Devices and methods for dynamic dithering are provided. For example, an electronic device according to an embodiment may include image processing circuitry that operates on higher-bit-depth image data and a display panel that displays lower-bit-depth image data. To obtain the lower-bit-depth image data, the image processing circuitry may perform dynamic dithering on the higher-bit-depth image data. Such dynamic dithering may involve dithering frames of the higher-bit-depth image data based at least in part on respective rounding threshold values.

Abstract: An image processing apparatus has an image analyzer including a feature detector, a feature combiner, and a resolution discrimination signal generator. For each pixel in a prescribed area of an input image, the feature detector outputs a representative difference value obtained from the pixel values of pixels positioned, with reference to that pixel, at prescribed intervals. The feature combiner outputs a combined feature value obtained from the representative difference values obtained for each pixel in the described area. The resolution discrimination signal generator outputs a resolution discrimination signal obtained from the combined feature value. The resolution discrimination signal has a monotonic non-decreasing relationship to the combined feature value. The resolution discrimination signal indicates an extent to which the input image includes signal components with frequencies equal to or greater than a particular frequency determined by the prescribed intervals.

Abstract: The number of pixels in an identified pixel region is counted, a feature point of the pixel region is extracted and the number of the feature points is counted when the number of the pixels counted has been determined to be equal to or higher than a first threshold value, whether the counted number of the feature points is equal to or lower than a second threshold value is determined, features is calculated based on the feature point extracted from the pixel region when the number of the feature points has been determined to be above the second threshold value, and the first threshold value is changed when the number of the feature points has been determined to be equal to or lower than the second threshold value. Image similarity determination process can be stably performed without any degradation in determination accuracy.

Abstract: An image adjustment method includes the steps of: a) configuring a weight-value generator to receive first image data and specified data and to generate an adaptive weight value according to the first image data and the specified data; and b) configuring an image blender to receive the first image data and second image data, and to generate adjusted image data by blending the first image data and the second image data with reference to the adaptive weight value. The adaptive weight value has a magnitude that corresponds to a difference between the first image data and the specified data.

Abstract: An image processing apparatus includes a thinning processing unit which performs thinning processing on image data and a smoothing processing unit which performs smoothing processing on the image data. The image processing apparatus further includes an edge direction determination unit which determines an edge direction with respect to each pixel of the image data, a blending processing unit which decides a pixel value of a target pixel of when the smoothing processing and the thinning processing are realized at the same time, and a thinning adjustment unit which determines whether a thinned pixel becomes isolated, and the thinning adjustment unit resets the change amount in pixel value due to the thinning processing of the thinned pixel to a value of zero, if the thinned pixel is determined to be isolated.

Abstract: Techniques are provided for an image processing device to receive image data from a remotely positioned sensor. Spectral bands within the image data are equalized. High and low resolution images are obtained from the equalized image and are used to ultimately generate a color separation space. The color separation space is used to determine balance positions or spatial locations on the axes of the color separation space. The balance positions are converted to a red-green-blue (RGB) triplet that is used to calculate band or channel balance gains. The channel balance gains are then applied to an original image obtained from the image data.

Abstract: A technique of approximating exponential transformations such as gamma correction is disclosed that achieves high resolution without requiring relatively large RAMs for lookup tables or specialized DSP processors. The technique includes the acts of scaling the pixel values according to their values, wherein smaller pixel values are scaled with larger scale factors and larger pixel values are scaled with smaller scale factors; quantizing the scaled pixel values; looking up the quantized pixel values in a lookup table to provide lookup values; and scaling the lookup values responsive to their scale factors to provide the gamma-corrected pixel values.

Abstract: Disclosed is a threshold setting apparatus including a creating unit which creates a plurality of images of tones by performing a tone conversion process on an original image including a subject by using a plurality of temporary thresholds which are different from each other, a subject detection unit which detects the subject in each of the plurality of images of tones which are created by the creating unit, an evaluation value calculating unit which calculates evaluation values relating to likeness to the subject from the plurality of subjects detected by the subject detection unit and associates the evaluation values with the temporary thresholds, and a setting unit which sets a threshold suited for the tone conversion of the original image based on the plurality of evaluation values calculated by the evaluation value calculating unit.

Abstract: A method for recognizing markers printed on a learning material, includes sampling an image of the learning material; grouping the sampled image of pixels into a first image group and a second image group based on a threshold; and calculating medians of the first image group and the second image group to update the threshold with a first average value of the calculated medians. Further, the method for recognizing markers printed on the learning material includes repeating the above until a difference between a previous threshold and an updated threshold is equal to or smaller than a reference value; binarizing an image captured by a camera based on the updated threshold; and detecting the markers based on the binary image.

Abstract: An imaging system includes an analog-to-digital converter configured to convert an analog pixel value into a first digital pixel value. The imaging system also includes an index value source configured to receive the first digital pixel value from the analog-to-digital converter and to generate a digital index value based on a comparison of the first digital pixel value to a digital reference value. In addition, the imaging system includes a transmitter in communication with the index value source and configured to transmit the digital index value. Further, the imaging system includes an image processing component configured to receive the digital index value and to generate a second digital pixel value based at least in part on the received digital index value and a lookup table of the image processing component.

Abstract: A method for calculating an image quality metric for evaluating the quality of a digital image including the steps of denoising the data of the image, identifying edges in the denoised data, determining an edge profile of the edges, determining a grayscale angle for each identified edge in the edge profile that is associated with the edge, and calculating the image quality metric based on a weighted average of the grayscale angles for all the edges.

Abstract: Image processing devices include a color extractor circuit configured to extract color information from input image data, a color shifter circuit configured to color shift the input image data according to the extracted color information and a definition enhancement circuit configured to detect a color difference from the color-shifted image data and to unsharp mask filter the color-shifted image data according to the detected color difference.

Abstract: An image processing apparatus which makes it possible to prevent a third party from outputting secret information as an image without leaving any evidence. A printer section of the image processing apparatus receives first image data and attribute data. The printer section forms an image corresponding to the first image data on a sheet, and then forms an image of information of the attribute data on the sheet in a manner superimposed on the image. A controller of the image processing apparatus generates second image data from the attribute data, and performs control such that the first image data and the second image data are recorded as history information on a job processed by the image processing apparatus.

Abstract: A method and system operative to process color image data are disclosed. In one embodiment, the method can comprise the steps of receiving color image data, determining the color ranges to be applied to the color image data, assigning each of the pixel positions in the image data a color range, assigning a different spatial binary pattern to each color range, and assigning each of the pixel positions a binary output pixel value that corresponds to the spatial binary pattern assigned to the color range assigned to that pixel position. The resulting binary image data can be written to a file for subsequent storage, transmission, processing, or retrieval and rendering. In other embodiments, a system can be made operative to accomplish the same.

Abstract: An object plane is set, and appropriate image processing is performed according to the setting of the object plane. An image processing apparatus has a controller (7). The controller (7) receives image data for a captured image and distance information on the distance to a designated point in the captured image, sets an object plane (100) containing the designated point, converts the distance information to the information on the distance from the object plane, and performs predetermined image processing according to the converted distance information.