Image processing device and image processing method

Abstract

The invention discloses an image processing device and an image processing method. The image processing device comprises the steps that a piece of image data is captured from a frame buffer; a piece of second color information in the upward direction, a piece of second color information in the downward direction, a piece of second color information in the leftward direction, and a piece of second color information in the rightward direction of a first target pixel in the image data are estimated according to first color information of the target pixel and color information of pixels adjacent to the target pixel; a color difference gradient value in the upward direction, a color difference gradient value in the downward direction, a color difference gradient value in the leftward direction, and a color difference gradient value in the rightward direction of the target pixel are calculated according to the four pieces of second color information of the target pixel; the edge texture characteristics of the target pixel are decided according to the four color difference gradient values of the target pixel; the edge indicative factor of the target pixel is decided according to the edge texture characteristics of the target pixel, and the weight used in subsequent interpolation operation is decided according to the edge indicative factor through table look-up.

Description

Technical field [0001] The present invention relates to an image processing method, and more particularly to a method for color interpolation of image data captured by an image sensor and a related image processing device. Background technique [0002] In digital cameras, video cameras, multimedia mobile phones, surveillance systems, video phones, etc., in all consumer electronic products that use a single sensor for image capture, the sensor will cover the Bell color filter Array (Bayer color filter array, Bayer CFA) records red, green and blue color information on a single image sensor, where the single sensor only records one color intensity value at each pixel position to reduce manufacturing cost. In addition, in order to restore the original Raw Bayer CFA Image captured by a single image sensor into a full-color image, color interpolation processing is required to obtain the missing color data. Since the color interpolation algorithm includes the analysis of the image con...

AI Technical Summary

Problems solved by technology

However, the above-mentioned technology needs to use a large memory buffer space and a considerable number of division operations, which will increase the manufacturing cost and is relatively difficult to implement in hardware, thus reducing the practicality of the technology

In addition, because the above-mentioned color interpolation method takes into account too much direction information, it is easy to produce blurring effect and reconstruction distortion in the image area with sharp edges and fine structures, thus reducing the image quality

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