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Image noise reduction method and device and computer readable storage medium

An image noise reduction and image block technology, which is applied in the field of image processing and can solve problems such as poor image noise reduction effect.

Active Publication Date: 2020-07-17
SPREADTRUM COMM (SHANGHAI) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem solved by the embodiments of the present invention is that the image noise reduction effect is poor

Method used

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  • Image noise reduction method and device and computer readable storage medium
  • Image noise reduction method and device and computer readable storage medium
  • Image noise reduction method and device and computer readable storage medium

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Embodiment Construction

[0049] As mentioned above, after the optical signal is processed by nonlinear systems such as lens, sensor and ISP pre-processing, the obtained image signal noise is often not the Gaussian white noise signal assumed by the usual image noise reduction algorithm. Such image signals are often High and low frequency noises exist at the same time. Existing algorithms usually treat the noise signal equally as Gaussian white noise, and use the same filtering method to process it. However, the current noise processing method has poor image noise reduction effect.

[0050] In the embodiment of the present invention, the frequency domain transformation is performed on the target image block to obtain the corresponding frequency domain coefficients, and the area type of the target image block is determined according to the frequency domain coefficients. When the area type of the target image block is a flat area, the second The shrinkage rate is calculated according to the brightness of t...

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Abstract

The invention discloses an image noise reduction method and device and a computer readable storage medium, and the method comprises the steps: carrying out the frequency domain transformation of an inputted target image block, and obtaining a corresponding frequency domain coefficient; determining a region type of the target image block according to the frequency domain coefficient, wherein the region type comprises any one of a flat region, a texture region and an edge region; calculating a first shrinkage rate corresponding to the brightness of the target image block; when the region type ofthe target image block is a flat region, obtaining a second shrinkage rate; performing threshold shrinkage on the frequency domain coefficient according to the first shrinkage rate and the second shrinkage rate to obtain a frequency domain coefficient after threshold shrinkage; performing inverse frequency domain transformation on the frequency domain coefficient after threshold shrinkage to obtain a first image block after inverse frequency domain transformation; and performing direction filtering on the first image block to obtain a denoised image block. According to the scheme, the image noise reduction effect can be improved.

Description

technical field [0001] Embodiments of the present invention relate to the field of image processing, and in particular, to an image noise reduction method and device, and a computer-readable storage medium. Background technique [0002] The image often contains noise signals of different frequencies after being pre-processed by the Image Signal Processor (ISP). In order to reduce the noise level in the image and obtain a higher quality image, Y channel noise reduction is a very important process. . Y channel noise reduction is an important part of image signal processing, and the quality of Y channel noise reduction directly reflects the level of ISP. [0003] After the optical signal is processed by nonlinear systems such as lens, sensor and ISP pre-processing, the obtained image signal noise is often not the Gaussian white noise signal assumed by the usual image noise reduction algorithm. Such image signals often have high and low frequency noise at the same time Existin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20021G06T2207/20221G06T2207/20052G06T5/70
Inventor 杨傲陈欢
Owner SPREADTRUM COMM (SHANGHAI) CO LTD
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