Image quality evaluation method and system based on gray characteristics

An image quality assessment and image technology, applied in the field of image processing, can solve problems such as pixel correlation is not considered

Pending Publication Date: 2021-02-05
湖南优象科技有限公司
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Problems solved by technology

Traditional full-reference objective image quality assessment algorithms have mean square error and peak signal-to-noise ratio, which have been widely used due to their simple calculation method and clear physical meaning, but these algorithms only analyze the image in a statistical sense, without considering to the correlation between pixels

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  • Image quality evaluation method and system based on gray characteristics
  • Image quality evaluation method and system based on gray characteristics
  • Image quality evaluation method and system based on gray characteristics

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Embodiment Construction

[0027] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments. The following examples are intended to illustrate the present invention, but not to limit the scope of the present invention.

[0028] like Figure 1 to Figure 7 As shown, in this embodiment, an image quality evaluation method based on grayscale characteristics is provided, including the following steps:

[0029] Step S1: Perform block processing on the reference image and the image to be evaluated, and divide them into a first sub-block image and a second sub-block image of a preset size, respectively denoted as {A n (x,y)|n=1,...,N} and {B n (x,y)|n=1,...,N}, where N represents the number of all sub-blocks after the block.

[0030] In this embodiment, the reference image and the image to be evaluated are both RGB (optical three primary colors, R represents red, G represents green, and B represents blue) images, whi...

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Abstract

The invention discloses an image quality evaluation method and system based on gray characteristics, and the method comprises the following steps: S1, carrying out the partitioning of a reference image and a to-be-evaluated image, and respectively dividing the reference image and the to-be-evaluated image into a first sub-block image and a second sub-block image with preset sizes; s2, calculatinggray characteristic indexes of each first sub-block image and each second sub-block image; s3, dividing the first sub-block image and the second sub-block image into a first category and a second category according to the gray characteristic indexes; s4, respectively extracting a first feature of each first sub-block image and a second feature of each second sub-block image in the first category;and S5, respectively extracting a third feature of each first sub-block image and a fourth feature of each second sub-block image in the second category. According to the method and system, the quality of the image can be accurately evaluated, the algorithm is simple, the correlation between pixels is fully considered, and the method and system have very high practical value.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image quality evaluation method and system based on grayscale characteristics. Background technique [0002] With the rapid development of multimedia technology, digital images are widely favored by people because of their intuitive, vivid and rich features. In the process of image processing of digital images, factors such as image imaging system, image storage device, transmission medium, and image processing mechanism at the terminal will inevitably cause image distortion, and the degree of image distortion can be directly determined. It reflects the performance of the multimedia transmission system and its service quality. Therefore, the image quality evaluation algorithm, as an objective evaluation criterion of image quality, is an important index to judge the performance of multimedia transmission system. [0003] According to the amount of reference informati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/90G06T5/00G06K9/62
CPCG06T7/0002G06T7/90G06T5/007G06T2207/20021G06T2207/30168G06F18/22G06F18/24
Inventor 罗文峰
Owner 湖南优象科技有限公司
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