Image noise reduction method and device, electronic device and storage medium

An image and noise reduction technology, applied in the field of image processing, can solve problems such as large amount of calculation

Active Publication Date: 2018-07-20
ZHEJIANG DAHUA TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The embodiment of the present invention discloses an image noise reduction method, device, electronic equipment a...

Method used

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  • Image noise reduction method and device, electronic device and storage medium
  • Image noise reduction method and device, electronic device and storage medium
  • Image noise reduction method and device, electronic device and storage medium

Examples

Experimental program
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Embodiment 1

[0092] In the embodiment of the present invention, the adjusting each AC coefficient value corresponding to the first image according to the DC coefficient value corresponding to the first image includes:

[0093] Using the DC coefficient value as the brightness value, determining a first noise value corresponding to the first image according to the DC coefficient value and a predetermined correspondence between the brightness value and the noise value;

[0094] For each AC coefficient value, according to the first numerical value corresponding to the AC coefficient value in the first preset matrix, the first noise value, and the preset first parameter value, determine the adjustment threshold corresponding to the AC coefficient value , wherein the number of rows and columns included in the first preset matrix is ​​the same as the number of rows and columns included in the first image, and for the first pixel corresponding to each AC coefficient value in the first image, The d...

Embodiment 2

[0110] In order to perform noise reduction processing on the first image more accurately, the first image can also be divided into several image blocks, and noise reduction processing is performed on each image block respectively. On the basis of the above-mentioned embodiments, in the present invention In an embodiment, before performing discrete cosine transform DCT decomposition on the first image, the method further includes:

[0111] dividing the first image into at least two first image blocks;

[0112] The DCT decomposition of the first image is performed to determine the DC coefficient value corresponding to the first image and each AC coefficient value; according to the DC coefficient value corresponding to the first image, the first Each AC coefficient value corresponding to the image is adjusted; according to the DC coefficient value corresponding to the first image and each adjusted AC coefficient value, performing DCT reconstruction on the first image includes:

...

Embodiment 3

[0134] In order to adjust the AC coefficient value more accurately, on the basis of the above-mentioned embodiments, in the embodiment of the present invention, according to the preset second parameter value and the adjustment threshold corresponding to the AC coefficient value, the AC Coefficient values ​​to adjust include:

[0135] judging whether the AC coefficient value is less than an adjustment threshold corresponding to the AC coefficient value;

[0136] If yes, then determine that the adjusted AC coefficient value is the first coefficient value;

[0137] If not, it is judged whether the AC coefficient value is greater than the preset second parameter value, if yes, then the adjusted AC coefficient value is determined to be the second coefficient value, if not, according to the formula: Determine the adjusted AC coefficient value, where L is the adjustment threshold corresponding to the AC coefficient value, V is the preset second coefficient value, H is the preset se...

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Abstract

The invention discloses an image noise reduction method and device, an electronic device and a storage medium to solve the problem of a large calculation amount in carrying out noise reduction processing on an image in the prior art. The method comprises a step of carrying out discrete cosine transform DCT decomposition on a first image for the first image to be subjected to noise reduction and determining a DC coefficient value and each AC coefficient value corresponding to the first image, a step of adjusting each AC coefficient value corresponding to the first image according to a DC coefficient value corresponding to the first image, a step of carrying out DCT reconstruction on the first image according to the DC coefficient value corresponding to the first image and each adjusted AC coefficient value and determining the reconstructed first image as a first image which is subjected to noise reduction. In the embodiment of the present invention, by adjusting each AC coefficient value through the DC coefficient value in a first image block which is subjected to noise reduction, the filtering of the noise of the first image is realized, the calculation amount is small, and the real-time performance is guaranteed.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image noise reduction method, device, electronic equipment and storage medium. Background technique [0002] As an important source for human beings to understand and recognize the world, images contain a huge and rich amount of information, which is incomparable to sound and text. Image is playing an increasingly important role in the fields of security, home, entertainment, industry, medicine and military, and image processing has become a hot topic. In practical applications, users hope to obtain high-quality images so that they can accurately reflect real situations. Due to the influence of hardware equipment, lighting, etc., the image will be subject to different degrees of noise pollution during acquisition, transmission, and access, which seriously affects the quality of the image. Therefore, image noise reduction is an extremely important content in ...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/002G06T2207/20052
Inventor 俞克强王松
Owner ZHEJIANG DAHUA TECH CO LTD
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