Reference-free type image quality evaluation method based on shape consistency of condition histogram

An image quality evaluation and image quality technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of insufficient stability of evaluation results, uncertain regression model parameter values, complex data training, etc., to avoid feature value Effects with different ranges, no training required, and easy to build

Active Publication Date: 2013-10-23
SHENZHEN UNIV
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Problems solved by technology

[0031] The technical problem to be solved in the present invention is aimed at the related NR-IQA evaluation and learning method, which has complex data training and insufficient stability of the evaluation results; and the regression model para...

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  • Reference-free type image quality evaluation method based on shape consistency of condition histogram
  • Reference-free type image quality evaluation method based on shape consistency of condition histogram
  • Reference-free type image quality evaluation method based on shape consistency of condition histogram

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Embodiment Construction

[0060] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0061] image 3 The flow chart of the non-reference image quality evaluation method based on conditional histogram shape consistency of the present invention is disclosed, combining figure 1 It can be seen that this method also needs to extract features from the distorted image, but compared to the process of wavelet decomposition, DNT transformation, calculation of the joint histogram, and extraction of mutual information in the related art, the feature extraction in this method requires wavelet Decomposition, DNT transformation, calculation of joint histogram, extraction of conditional histogram and calculation of shape consistency are several steps. What is different from the related technology is that the present inve...

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Abstract

The invention discloses a reference-free type image quality evaluation method based on the shape consistency of a condition histogram. The reference-free type image quality evaluation method comprises the following steps: S1: carrying out nonlinear processing on a distorted image; S2: carrying out feature extraction on the image subjected to the nonlinear processing and extracting a combined histogram and a condition histogram curve histo (Y/Xi); solving a condition histogram average value; S3: utilizing the condition histogram curve histo (Y/Xi) and the condition histogram average value to solve a quality evaluation index D for judging the image quality. The quality evaluation index D obtained by using the method disclosed by the invention is simple and practical and the distortion degree of the distorted image can be effectively reflected; compared with a data training method, according to the method disclosed by invention, the obtained evaluation index has better objectivity and stability.

Description

technical field [0001] The invention relates to the field of image processing, in particular to the field of image quality evaluation, in particular to a non-reference image quality evaluation method based on conditional histogram shape consistency. Background technique [0002] Image quality is the main index to evaluate the performance of image and video processing systems and algorithms, so the research on Image Quality Assessment (IQA) method is very important and has broad prospects. In the process of image denoising, image restoration, image enhancement, etc., the IQA index can be used as the basis for the performance comparison and parameter selection of each algorithm; in the fields of image coding and communication, the IQA index can be used to guide the entire image compression, transmission, and reception. process, and evaluate the performance of different algorithms and systems; in the field of network transmission quality monitoring, IQA indicators can replace m...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 储颖纪震
Owner SHENZHEN UNIV
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