Sony Corporation

Tak-Shing Wong

Jiro Takatori

Xiaogang Dong

An image processing system, and a method of operation thereof, includes: an imaging sensor and lens assembly for receiving a first shot; and a defocus blur unit for calculating a defocus blur based on the first shot; wherein: the imaging sensor is for receiving a second shot with the defocus blur; and further comprising: a low-pass filter for generating a low-pass image by filtering the first shot based on the defocus blur; a comparison unit for comparing the low-pass image with the second shot for detecting a color aliasing; and a correction unit for correcting the color aliasing in the first shot.

Image processing system with aliasing detection mechanism and method of operation thereof

An image processing system, and a method of operation thereof, includes: an edge motion generation unit for detecting edges in a first image frame and a second image frame stored by a storage device or a memory and for generating edge motion vectors between the first image frame and the second image frame based on the edges; a motion vector list generation unit for extracting dominant motion vectors from a group of the edge motion vectors and for generating a motion vector list based on the dominant motion vectors; an image segmentation unit for generating a segmentation of the first image frame; an initial motion generation unit for generating initial motion vectors based on the segmentation and the motion vector list; and a smooth motion generation unit for generating smooth motion vectors based on the initial motion vectors and for generating a dense optical flow field by combining the smooth motion vectors.

Image processing system with optical flow recovery mechanism and method of operation thereof

An image processing system, and a method of operation thereof, includes: a local patch ternarization module for receiving an input image, for calculating a mean value of a local patch of pixels in the input image, and for calculating ternary values for the pixels based on the mean value; and an artifact removal module, coupled to the local patch ternarization module, for removing a residue artifact based on the ternary values and for generating an output image with the residue artifact removed for sending to an image signal processing hardware.

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Fremont, CA, United States of America

Tak-Shing Wong