The present disclosure provides an image processing method, an image processing apparatus and an electronic device. The method includes: controlling the image sensor to output a color-block image; determining a predetermined area on the color-block image according to a user input; converting a first part of the color-block image inside the predetermined area into a first simulation image using a first interpolation algorithm; converting a second part of the color-block image outside the predetermined area into a second simulation image using a second interpolation algorithm, in which, a complexity of the second interpolation algorithm is less than that of the first interpolation algorithm; and merging the first simulation image and the second simulation image to generate a simulation image corresponding to the color-block image.

Various embodiments are generally directed to techniques for determining whether to use an interpolated frame or repeat a base frame in up-converting the frame rate of a base video stream to generate an up-converted video stream. A device to up-convert a frame rate includes an analysis component to analyze a pair of temporally adjacent base frames and a motion vector associated with movement of an object between the pair of base frames to determine a degree of visual artifacts involving an edge of the object in an interpolated frame, and a selection component to compare the degree of visual artifacts to a threshold and select the interpolated frame for insertion between the preceding base frame and the following base frame in up-converting a frame rate of the base video stream to generate an up-converted video stream based on the comparison. Other embodiments are described and claimed.

Provided are video processing architectures and techniques configured to generate looping video. The video processing architectures and techniques automatically produce a looping video from a fixed-length video clip. Embodiments of the video processing architectures and techniques determine a lower-resolution version of the fixed-length video clip, and detect a presence of edges within image frames in the lower-resolution version. A pair of image frames having similar edges is identified as a pair of candidates for a transition point (i.e., a start frame and an end frame) at which the looping video can repeat. Using start and end frames having similar edges mitigates teleporting of objects displayed in the looping video. In some cases, teleporting during repeating is eliminated.

Devices, systems and methods are disclosed for improving color resolution in YUV subsampled image signals. Chrominance data may be subsampled using two different techniques and the two different outputs may be interlaced to improve a resulting color resolution as perceived by a viewer. Luminance data may be adjusted in paired frames to improve the perceived color resolution without affecting the perceived luminance values. High edge areas, including high frequency variations in luminance values, may be adaptively desaturated to improve the perceived color resolution of the resulting output.

An image processing method and an image processing apparatus that utilize scrolling text information and moving edge-pairs of an edge map to determine text regions in interpolated frame is introduced herein. Text blocks are detected according to the moving edges-pair of the edge map. Next, a first moving vector histogram and a second moving vector histogram are built according to the detected text blocks. An existence of scrolling text and motion vector of the scrolling text in the frames are determined according to the first and second moving vector histograms. A scrolling text region in at least one of the first frame and the second frame is determined in block line unit, and positions of each scrolling text pixels in an interpolated are determined according to the motion vector of the scrolling text and the scrolling text region in the at least one of the first frame and the second frame.

Apparatuses, systems, and techniques to interpolate one or more intermediate images from two or more images is disclosed. In at least one embodiment, a processor includes one or more circuits to interpolate one or more intermediate images from two or more images based, at least in part, on one or more inconsistent flow vectors corresponding to the two or more images.

Provided are video processing architectures and techniques configured to generate looping video. The video processing architectures and techniques automatically produce a looping video from a fixed-length video clip. Embodiments of the video processing architectures and techniques determine a lower-resolution version of the fixed-length video clip, and detect a presence of edges within image frames in the lower-resolution version. A pair of image frames having similar edges is identified as a pair of candidates for a transition point (i.e., a start frame and an end frame) at which the looping video can repeat. Using start and end frames having similar edges mitigates teleporting of objects displayed in the looping video. In some cases, teleporting during repeating is eliminated.

Provided are video processing architectures and techniques configured to generate looping video. The video processing architectures and techniques automatically produce a looping video from a fixed-length video clip. Embodiments of the video processing architectures and techniques determine a lower-resolution version of the fixed-length video clip, and detect a presence of edges within image frames in the lower-resolution version. A pair of image frames having similar edges is identified as a pair of candidates for a transition point (i.e., a start frame and an end frame) at which the looping video can repeat. Using start and end frames having similar edges mitigates teleporting of objects displayed in the looping video. In some cases, teleporting during repeating is eliminated.

A method for scaling up an image in a display device includes acquiring luminance data and color data of a plurality of pixels in the image; generating high frequency components according to the luminance data of a first pixel and a plurality of second pixels adjacent to the first pixel in each set of adjacent pixels among the plurality of pixels; adjusting the high frequency components corresponding to each set of adjacent pixels, for making a sum of the high frequency components corresponding to each set of adjacent pixels to be within a predetermined range; and transforming the luminance data of the first pixel, the high frequency components and duplicating the color data of the first pixel in each set of adjacent pixels, to generate image data of a plurality of scaling-up points between the first pixel and each of plurality of second pixels in each set of adjacent pixels.

An image signal processing apparatus includes a down-converter unit configured to down-convert an image signal having a first resolution into an image signal having a second resolution lower than the first resolution, a high-frequency-band-edge detection unit configured to perform filtering on the image signal having the first resolution to extract components in a higher frequency band than a frequency corresponding to the second resolution and to perform down-conversion on an edge detection signal obtained through the filtering to obtain an edge detection signal having the second resolution, and a combination unit configured to combine the edge detection signal obtained by the high-frequency-band-edge detection unit with the image signal having the second resolution generated by the down-converter unit so as to obtain an image signal having the second resolution and being to be displayed.