Video noise evaluation system and method

Abstract

The invention discloses an image noise evaluating system and an evaluating method thereof, which are used for evaluating the noise of current images, wherein, a storage device stores the former image of the current images; a multi-windowed noise evaluating device carries out noise evaluation on areas of the current images and on the corresponding area of the former image; a noise evaluating index and a noise adjustment evaluating index which are corresponding to the windows are output; a comparing device is used for comparing multiple noise adjustment evaluating indexes, choosing the minimum value thereof and outputting a window index at the same time; the window index works as the window of the minimum noise adjustment evaluating index. When the minimum noise adjustment evaluating index is smaller than a critical value, a detecting device which can move in whole domain outputs the noise evaluating index which is corresponding to the minimum noise adjustment evaluating index as a noise evaluating value of the current image.

Description

technical field [0001] The invention relates to the field of image technology, in particular to an image noise evaluation system and method. Background technique [0002] Television signals are prone to interference and generate noise during transmission. In order to reduce the interference of noise, the display device generally includes noise reduction processing. However, no matter the noise reduction method in the spatial domain or the noise reduction method in the temporal domain, different processing side effects may occur. Generally speaking, a better noise reduction method is to first analyze the noise level of the input image, and then perform different intensities of noise reduction processing according to different noise levels. [0003] US Patent No. 5,844,627 discloses a spatial noise reduction method, which firstly analyzes the composition of spatial frequencies, and then suppresses frequency bands that may be noise components. However, the method of spatial n...

AI Technical Summary

Problems solved by technology

Different degrees of motion will generally affect the difference distribution. However, different numbers of motion points and different sizes of motion time differences may appear in the video, thus causing the distribution of the absolute value of the difference to gradually change with different motions. Increased the difficulty of setting the threshold for the final decision to keep or discard

It can be seen that there is still room for improvement in the existing image noise assessment systems and methods

Images