Image processing device and method

Abstract

The invention provides an image processing device and an image processing method. In the device and the method, whether the feature of each pixel in a current image is in a dynamic state or a static state is judged according to a boundary change condition between the current image and a previous image, and pixel differences corresponding to pixels in the static state in the current image are added to acquire the noise intensity of the current image. In addition, the device comprises a pixel difference calculator, a boundary processing unit and a noise level processing unit, wherein the pixel difference calculator is used for calculating the pixel differences among pixels corresponding to each position on the current image and the previous image; the boundary processing unit is used for processing boundary change around each pixel in the current image; and the noise level processing unit is used for calculating to acquire the noise intensity of the current image on the basis of the boundary change judged by the boundary processing unit.

Description

technical field [0001] The present invention relates to a device for judging noise intensity, in particular to a device for judging the noise intensity in image data. Background technique [0002] With the rapid evolution of video processing technology, the quality requirements for video content (Video Content) are getting higher and higher. High-quality, high-resolution video content has been widely used in various image display devices, such as: High Definition Television (HDTV) or Personal Computer Liquid Crystal Screen (LCD). Video content usually includes multiple frames (Frame) or field (Field), in the process of video processing or video transmission, some frames or fields may be affected by noise and change (for example: some pixel values (Pixel) changes), and on a high-resolution display device, it is particularly sensitive to noise on the video content, in other words, when the video content is disturbed by noise, it may be displayed on a high-resolution display d...

AI Technical Summary

Problems solved by technology

[0019] If the dynamic image is misjudged as noise interference, it will cause distortion

Because the MAD in dynamic images is caused by object movement, frame S k Each pixel value in is not necessarily the same as the previous frame S k-1 There is association (such as: pixel (i, j) in frame S k-1 is a part of the object, because of the movement of the object, the same pixel (i, j) in frame S k may become part of the background), if it is misjudged as noise interference, and the pixel values ​​​​of the front and rear images are further averaged to eliminate noise, it will often cause smearing

Therefore, it is known that for dynamic images, it is quite likely to cause misjudgment.

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