A system for image inpainting is provided, including an encoder, a decoder, and a sketch tensor space of a third-order tensor; wherein the encoder includes an improved wireframe parser and a canny detector, and a pyramid structure sub-encoder; the improved wireframe parser is used to extract line maps from an original image input to the encoder, the canny detector is used to extract edge maps from the original image, and the pyramid structure sub-encoder is used to generate the sketch tensor space based on the original image, the line maps and the edge maps; and the decoder outputs an inpainted image from the sketch tensor space. A method thereof is also provided.

A facial verification method includes separating a query face image into color channel images of different color channels, obtaining a multi-color channel target face image with a reduced shading of the query face image based on a smoothed image and a gradient image of each of the color channel images, extracting a face feature from the multi-color channel target face image, and determining whether face verification is successful based on the extracted face feature.

An electronic device may include enhancement circuitry to enhance high resolution image data to improve perceived quality of an image corresponding to the high resolution image data. The enhancement circuitry may include tone detection circuitry to determine one or more tones within the image and apply changes to the high resolution image data based on the one or more tones. The enhancement circuitry may also include example-based improvement circuitry to compare the high resolution image data to low resolution image data and apply changes to the high resolution image data based on differences between sections of the high resolution image data and sections of the low resolution image data. The enhancement circuitry may also include channel processing circuitry to apply the first and second changes to one or more channels of the high resolution image data.

In one embodiment, a method includes obtaining an image comprising a plurality of pixels, determining, for a particular pixel of the plurality of pixels, a gradient value, classifying, based on the gradient value, the particular pixel into a flat class or one of a plurality of edge classes, and denoising the particular pixel based on the classification.

A system, method, and computer program product are provided for capturing digital images. In use, at least one ambient exposure parameter is determined, and at least one flash exposure parameter based on the at least one ambient exposure parameter is determined. Next, via at least one camera module, an ambient image is captured according to the at least one ambient exposure parameter, and, via the at least one camera module, a flash image is captured according to the at least one flash exposure parameter. The captured ambient image and the captured flash image are stored. Lastly, the captured ambient image and the captured flash image are combined to generate a first merged image. Additional systems, methods, and computer program products are also presented.

An image processing part includes an edge enhancing part, an artifact detecting part and a compensating part. The edge enhancing part emphasizes an edge portion of an object in input image data. The artifact detecting part detects a corner outlier artifact at an area adjacent to the edge portion of the object. The compensating part compensates the corner outlier artifact. Accordingly, the edge portion of the object may be enhanced and the corner outlier artifact is decreased so that the display quality may be improved.

A material data collection system allows capturing of material data. For example, the material data collection system may include digital image data for materials. The material data collection system may ensure that captured digital image data is properly aligned, so that material data may be easily recalled for later use, while maintaining the proper alignment for the captured digital image. The material data collection system may include using a capture guide, to provide cues on how to orient a mobile device used with the material data collection system.

The present technology relates to an image processing device, an image processing method, and a program that are able to effectively reduce noise. The image processing device according to the present technology includes a feedback rate setting section, a blending section, and a calculation section. The feedback rate setting section sets a feedback rate for pixels in a current line on the basis of a count that is set for pixels in a previous line. The current line and the previous line are among a plurality of lines forming an image. The pixels in the current line are to be subjected to a blending process of blending inputted pixels in the current line and already outputted pixels in the previous line. The blending section blends the pixels in the current line and the pixels in the previous line in accordance with the feedback rate. The calculation section calculates a count that is indicative of the cumulative number of pixels blended with the pixels in the current line by the blending process and is to be set for the pixels in the current line. The present technology is applicable to in-vehicle cameras.

A visual positioning method and apparatus, an electronic device, a computer readable storage medium, and a computer program product are provided. The method includes: performing contour enhancement processing on an actual building image included in a image for positioning to obtain an actual building contour, and determining location information of a target building matching the actual building contour from a preset contour map, the contour map being obtained by blurring non-building contour information in a real panoramic map, and finally generating a visual positioning result based on the location information.

A processor unit configured to identify blocks of a frame of a video sequence to be excluded from a motion-compensated operation, the processor unit comprising: a frame processor configured to process pixel values of a first frame to characterise blocks of one or more pixels of the first frame as representing at least a portion of a graphic object; a frame-difference processor configured to determine difference values between blocks of the first frame and corresponding blocks of a second frame, and to process said difference values to characterise blocks of the first frame as representing an image component that is static between the first and second frames; a block identifier configured to identify blocks of the first frame as protected blocks in dependence on blocks characterised as: (i) representing at least a portion of a graphic object; and (ii) representing an image component that is static between the first and second frames, wherein the identified protected blocks are to be excluded from the motion compensated operation.