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Image Quality Evaluation Method Based on Human Vision Characteristics

A technology for image quality evaluation and human vision, which is applied in the field of computer vision research, can solve problems such as the decline in the accuracy of evaluation effects, and the inability of images to achieve subjective and objective consistency, so as to avoid errors, low complexity, and high reliability. Effect

Active Publication Date: 2021-01-12
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] A single image feature information extraction will often result in a decrease in the accuracy of the evaluation effect, and some images cannot achieve consistent subjective and objective results

Method used

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  • Image Quality Evaluation Method Based on Human Vision Characteristics
  • Image Quality Evaluation Method Based on Human Vision Characteristics
  • Image Quality Evaluation Method Based on Human Vision Characteristics

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Embodiment Construction

[0033] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0034] Aiming at the inconsistency of subjective and objective evaluations which are common nowadays, the present invention proposes an image quality evaluation method based on human visual characteristics, which not only overcomes the shortcoming of low accuracy of single-scale evaluation, but also is more in line with human visual characteristics. At the same time, the method of the present invention has low complexity and small amount of calculation.

[0035] like figure 1 Shown are the detailed steps of the present invention:

[0036] 1. First input the image that needs to be evaluated for quality, and then generate the saliency image of the original image. The remarkable characteristics of the image can imitate the human visual observation process and satisfy the visual characteristics of the human eye.

[0037] The generation method of the...

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Abstract

The invention discloses an image quality evaluation method based on the visual characteristics of human eyes, which can objectively evaluate the effect of image processing without a reference frame. The quality evaluation method of the present invention first generates the saliency image of the input image, then divides the original image and the saliency image into scales, then extracts the features of the original image on each scale, and utilizes the saliency that highlights the area of ​​interest to the human eye. The weighting strategy of the high-degree image is to weight the features of the original image to obtain the quality factors of different scales, and finally the weighted average of the quality factors of each scale is obtained to obtain the final image quality evaluation index. The method of the invention fully considers the visual characteristics of human eyes, so the image quality can be evaluated more effectively and accurately.

Description

technical field [0001] The invention relates to an image quality evaluation method based on human visual characteristics, which is suitable for image quality evaluation without a reference frame, and belongs to the field of computer vision research. Background technique [0002] The continuous development of image processing technology has promoted the in-depth research and application of image quality evaluation methods. Image quality evaluation methods generally evaluate the effect of an image to judge the quality of image processing algorithms. [0003] Image quality evaluation methods are generally divided into two ways: subjective evaluation and objective evaluation. Subjective evaluation is mainly divided into subjective evaluation based on color perception and subjective evaluation based on preference, which is a qualitative evaluation method. The ITU recommended the double-stimulus continuous quality scale method, the double-stimulus damage scale method, and the sin...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/40G06K9/46G06T7/37
CPCG06T7/37G06T2207/20052G06T2207/30168G06V40/193G06V10/443G06V10/30G06V10/464
Inventor 唐贵进张诗林宝栋刘小花崔子冠刘峰
Owner NANJING UNIV OF POSTS & TELECOMM