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Method and system for removing mosquito noise

A mosquito noise, azimuth direction technology, applied in image enhancement, image analysis, instruments, etc., can solve the problem of occupying hardware resources and high complexity, and achieve the effect of protecting texture area, removing mosquito noise, and simplifying mosquito noise.

Active Publication Date: 2020-02-28
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method requires 100 candidate quantization tables, and the complexity is high, taking up a lot of hardware resources

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  • Method and system for removing mosquito noise
  • Method and system for removing mosquito noise
  • Method and system for removing mosquito noise

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Embodiment Construction

[0051] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0052] Due to the limitation of network bandwidth, the image signal needs to be encoded, which introduces mosquito noise, resulting in a decrease in the image quality of the image signal. Mosquito noise tends to appear in flat areas or low-frequency areas next to object edge areas (textured areas), such as figure 1 shown.

[0053] Such as figure 2 As shown, the method for removing mosquito noise provided by the present invention specifically includes:

[0054] Step 201, when it is determined that the area block to be processed is an edge block, determine whether there are mosquito noise blocks and flat blocks continuously in the neighborhood...

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Abstract

The present invention relates to a method and system for removing mosquito noise. The denoising method for removing mosquito noise includes: when determining that an area block to be processed is an edge block, determining the neighbors of the area block to be processed in an azimuth direction. Whether there are mosquito noise blocks and flat blocks continuously in the domain block; when it is determined that there are mosquito noise blocks and flat blocks, it is determined that the area block to be processed is located in the mosquito noise area; the edge block probability of the area block to be processed is obtained respectively , and the mosquito noise block probability and flat block probability of its adjacent area blocks, select the minimum value among them as the mosquito noise filter weight; use the mosquito noise filter weight to filter the area to be processed located in the mosquito noise area Block performs mosquito noise filtering processing. The present invention solves the problem of how to simplify the detection of mosquito noise while maximizing the protection of the texture area, and effectively remove the mosquito noise between the background and the object.

Description

technical field [0001] The present invention relates to the technical field of video image processing, in particular to the technology of removing mosquito noise, in particular to a method and system for removing mosquito noise. Background technique [0002] The Video Reference Impairment System project group defines mosquito noise as "distortion along the edges of moving objects, manifested as a layer of flying objects or fuzzy bubbles around the object (like mosquitoes flying around a person's head and shoulders) ". Mosquito noise occurs when an image is reconstructed and some data is discarded due to the use of an inverse cosine transform. [0003] Mosquito noise often appears in the transition area between edge blocks and flat blocks, combined with this feature, mosquito noise can be detected. Existing methods for detecting mosquito noise mainly include: airspace methods, frequency domain methods, and methods combining airspace and frequency domains. [0004] In the m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/44
CPCG06T2207/10016G06T2207/20182G06T5/70
Inventor 韩睿胡朗恺郭若杉李晨刘壮
Owner INST OF AUTOMATION CHINESE ACAD OF SCI