Realtek Semiconductor Inc.

Chung-Yan Chih

Wen-Tsung Huang

Kai Yin Liu

The present invention provides an image processing method, wherein the image processing method includes the steps of: using a plurality of corner detection filters to perform corner detection on a specific pixel of image data to generate a plurality of detection results, respectively, wherein the plurality of corner detection filters correspond to a plurality of corners with different directions, respectively; determining which one of the plurality of corners with different directions the specific pixel belongs to according to the plurality of detection results; and according to a specific corner among the plurality of corners to which the specific pixel belongs, performing an image processing operation corresponding to the specific corner on the specific pixel to generate processed image data.

Image processing circuit and associated image processing method

A signal processing device includes a first frame buffer configured to store a first frame, a second frame buffer configured to store a second frame and a processor. The processor is coupled to the first frame buffer and the second frame buffer and is configured to perform a first image processing procedure according to the first frame and the second frame to obtain a super resolution difference value corresponding to each pixel of the first frame, perform a second image processing procedure according to the first frame and the second frame to obtain a noise reduction value corresponding to each pixel of the first frame, selectively add the super resolution difference value and the noise reduction value to the corresponding pixel of the first frame to generate an output frame and store the output frame in the second frame buffer as the second frame.

Signal processing method for performing iterative back projection on an image and signal processing device utilizing the same

A contrast adjustment system includes a memory and a processor. The memory stores instructions. The processor is configured to access and execute the instructions to: access an image with a plurality of pixels, wherein the pixels are corresponding to a plurality of intensity values; generate a histogram based on a distribution of the intensity values in a range from an intensity lower bound to an intensity upper bound; divide the histogram into four sub-histograms based on a median value of the intensity values; enlarge the four sub-histograms based on a predetermined parameter; remap the four sub-histograms to form a gamma curve based on a cumulative distribution function; and apply the gamma curve to pixels of another image.

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Taipei, Taiwan

Chung-Yan Chih