Method for time domain noise reduction of noise image and related device

Abstract

The embodiment of the invention discloses a method for time domain noise reduction of a noise image and a related device. According to the embodiment of the invention, quantizing noise of a first block to which a first pixel point belongs can be combined to carry out moving and motionlessness judgment, the probability of erroneous judgment is very small, frame difference threshold values suitable for different zones with moving and motionlessness and different frame difference calculation modes are respectively set and adopted for the moving and motionlessness judgment of the first pixel point, integration factors suitable for the different zones with moving and motionlessness are selected aiming at the frame difference threshold values suitable for the different zones with moving and motionlessness and the frame difference calculation modes, and noise reduction and integration modes are selected aiming at the integration factors and the frame difference calculation modes suitable for the different zones with moving and motionlessness and a pixel value of the first pixel point on the current frame, so that noise reduction can be carried out aiming at different zones with moving and motionlessness of the noise image, the probability of error detection is very small, and the method and the device can be applied to various noise scenes.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a temporal domain noise reduction method and a related device for noisy images. Background technique [0002] With the increasing development of image display devices, people have higher and higher requirements for high-quality, high-definition image information. In reality, digital images are often affected by imaging equipment and external environmental noise interference during digitization and transmission. Therefore, such digital images disturbed by noise are often called noisy images or noise images. The reduction of resolution affects the display details of the image, which is extremely detrimental to the subsequent processing of the image. Therefore, effective suppression of noise plays a vital role in image applications. Image noise reduction is of great significance in video processing systems. In television systems, de-interlacing, anti-aliasing, and ...

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Problems solved by technology

[0007] The inventors of the present invention found in the process of realizing the present invention that: TNR based on motion and static judgment only uses the frame difference as the basis for judging whether the image moves, and selects the corresponding fusion coefficient according to the judgment result, but only uses the frame difference to make the image move Judgment basis is easy to cause false detection. If a moving image is judged as a still image, image smearing and details will be lost. If a still image is judged as a moving image, the noise reduction effect will be weak for images with high noise. Therefore, it cannot adapt to different noise scenarios

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