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.

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.

A method and apparatus for occlusion area detection based on block difference associated with a motion vector and a predicted block difference are disclosed. For each current block of a frame, motion estimation is performed based on a temporally previous frame and a temporally subsequent frame. Based on the motion vector derived, two reference blocks of the current block are located in the temporally neighboring frames. The block difference between these two reference blocks is calculated for the current block. By comparing the block difference with a predicted block difference of the current block, the current block is determined to be an occlusion block or not accordingly. The predicted block difference is updated by averaging the block difference of neighboring blocks in a non-motion boundary area.

An image processing device and method can perform interpolation that reduces overshoot and ringing on a step edge while maintaining high frequency components. The image processing device includes a vertical step edge area determination unit that determines a vertical step edge area of an image, a horizontal step edge area determination unit that determines a horizontal step edge area of the image, and an interpolation unit that performs an interpolation based on the vertical step edge area and the horizontal step edge area.

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.