System and method for enhancement processing of video images

Abstract

The invention relates to an image processing system and a processing method. The system comprises an image buffer, an image information analyzer, an image reconstruction device, a detail edge enhancement processor, a de-noising processor, a color processor and a synthesizer. The method comprises: extracting motion vector information, color region information and noise distribution information of images according to the sequence data of read original images; restructuring images according to the motion vector information of the original images and transmitting new image data together with the motion vector information, color region information and noise distribution information of the images into a color processor; using the detail edge enhancement processor; using the de-noising processor; and obtaining final processed data according to the image data subjected to edge enhancement, the de-noised image data and the data after color enhancement. The invention utilizes motion estimation and motion compensation to effectively restore image details, enhance colors and remove image noise.

Description

technical field [0001] The invention relates to the field of video image processing, in particular to a processing system and method for enhancing the definition of video images. Background technique [0002] The difference between a digital video signal and a static image signal is that the video signal is a three-dimensional time-varying signal, which contains motion information and time redundancy between frames. In video signal processing, although we can treat it as a series of static image sequences, the processing between each frame is relatively independent, but with the help of the motion information contained between multiple frames, the enhanced image can be more accurately removed. noise, and certain applications such as moving object extraction or motion speed detection obviously cannot be performed on a single still image frame basis. [0003] The estimation and utilization of motion information between multiple frames is called motion estimation and motion co...

AI Technical Summary

Problems solved by technology

Then, on the result of denoising, a high-pass filter is used to enhance image processing, but because of the single-frame serial structure, small details will be lost after denoising processing by the denoising device

And because there is little effective information, a lot of real noise is not removed, and the noise is amplified after the second sharpening process, so this method cannot effectively denoise and image enhancement

There are also parallel structures for noise reduction and detail enhancement, but due to the lack of inter-frame information, some real random noise cannot be effectively removed

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