Image processing method and its device

Abstract

The image process method comprises: A. multiplying these linear-calculation matrixes, including the transition matrix to transfer pixel RGB data into color space with separated brightness and chroma into a unique processing matrix; and B. multiplying the said unique matrix to pixel EGB data to obtain the pixel point data with separated brightness and chroma, then taking Gamma correction for brightness component. This invention increases processing speed, reduces difficulty on chip design and production, and decreases power consumption and cost.

Description

technical field [0001] The invention relates to an image processing device and a processing method thereof. Background technique [0002] After the digital image capture device processes the image data collected by the image sensor into pixel data in the RGB color space, it usually needs to perform color correction, color space conversion, hue adjustment, saturation adjustment, and Y gamma (Gamma). End-to-end color processing for clearer, more vibrant images. As shown in Figure 1, it includes the following processes: [0003] 1) Color correction: Correct the pixel RGB data obtained by processing the image data collected by the image sensor (such as various interpolation processing) to obtain the standard RGB data of the pixel to obtain an image with more vivid colors; this operation passes Multiply the input data by a 3×3 color correction matrix to achieve; [0004] 2) RGB Gamma: Through the table lookup operation, the R, G, and B component data are respectively gamma cor...

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Problems solved by technology

[0009] In step 2), the back-end color processing method of the above pixel data needs to perform a table lookup operation on the R, G, and B components of each pixel of the pixel data, And in steps 1), 3), 4), and 5), it is necessary to perfor

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