Gridding noise elimination method and device for remaining image definition

Abstract

The invention discloses a grid noise elimination method and a device for maintaining the image definition. The method includes: when the noise elimination is implemented on each G pixel point in the area needing the noise elimination, whether the unit area is a smooth area or not is judged firstly according to all the values of non-similar pixel points in a unit area which centers on the G pixel point. If yes, the value of the G pixel point and the values of all or part of the non-similar pixel points in the unit area are weighted in average, and the result is used as the value of the G pixel point after being renewed. The device includes a judging unit, a processing unit for smooth area and a processing unit for non-smooth area. By adopting the method and the device of the invention adopted, grid noises can be eliminated, meanwhile, the image definition is maintained, more particularly, the image definition of a marginal part is maintained.

Description

technical field [0001] The invention relates to a digital image processing method, in particular to a grid noise elimination method and a device thereof for maintaining image clarity. Background technique [0002] The optical sensors of digital image capture devices such as cameras, digital cameras, and digital video cameras usually use CCD (Charge-coupled device) or CMOS (Complementary Metal Oxide Semiconductor) technology, which is densely packed in both horizontal and vertical directions. A two-dimensional matrix composed of arranged photosensitive elements (CCD or CMOS), while CCD or CMOS sensors can only sense light brightness, not color information. Therefore, a color filter array (Color Filtered Array, CFA) must be used to ensure that each sensor pixel receives only one color of light: usually one of the three colors red (R), green (G), and blue (B). kind. The color filter array can use different modes, the most commonly used is the color filter array of Bayer (Bell...

AI Technical Summary

Problems solved by technology

[0005] The first way is to improve the production process to improve the quality of the optical sensor and the alignment accuracy of the lens and the optical sensor. However, improving the production process often requires a lot of money and time, and even if the production process is improved It is also difficult to guarantee that every digital image capture device produced can meet the quality requirements

[0006]The second method is to use image processing to remove the grid noise of the Bell image, that is, each original G-value pixel and its adjacent G-value Pixels are weighted average, and the weighted average is used as the G value of the pixel, which eliminates the imbalance of the G value, and also eliminates the grid noise, but the above method may cause blurring of the original image, especially is at the edge of the original image

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