Reference-free tone mapping image quality evaluation method based on color statistics and information entropy

A technology for image quality evaluation and tone mapping, applied in the field of image processing, to achieve high performance and high consistency

Active Publication Date: 2019-01-15
TIANJIN UNIV
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Problems solved by technology

For the image quality evaluation problem of tone mapping algorithm, predecessors have made a lot of co

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  • Reference-free tone mapping image quality evaluation method based on color statistics and information entropy
  • Reference-free tone mapping image quality evaluation method based on color statistics and information entropy
  • Reference-free tone mapping image quality evaluation method based on color statistics and information entropy

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Embodiment Construction

[0052] The present invention proposes a method for evaluating image quality without reference tone mapping, which specifically includes the following steps:

[0053] The first step is data preparation. The ESPL-LIVE HDR Database is selected as the data set, with a total of 1811 tone-mapped images, 80% of the data in the database is used as the training set, and the remaining 20% ​​is used as the test set.

[0054] The second step is the extraction of color statistical features. It mainly includes the following three steps: (1) Color channel decomposition, color channel decomposition and construction for LMS, Lab, YCbCr and RGB spaces, logarithmic operation for the decomposed LMS channel, and new color channel for the decomposed RGB channel (2) carry out division normalization operation to channel in (1), obtain respective color normalization coefficient; (3) parameter fitting, use generalized Gaussian distribution and asymmetrical generalized Gaussian fitting color normalizat...

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Abstract

The invention belongs to the field of image processing and provides a reference-free tone mapping image quality evaluation method based on color statistics and information entropy. According to the method, the technical proposal adopted by the invention is that an image quality evaluation method without reference tone mapping based on color statistics and information entropy is provided. The method comprises the following steps: first, data preparation; 2, extract color statistical features, mainly comprise that following three steps: (1) decomposing color channel; 2) carry out division normalization operation on that channels in (1) to obtain respective color normalization coefficient; (3) parameter fitting; 3, feature extraction of information entropy; Step 4, quality prediction. Featureextraction of the test set, input to the trained model, predict the quality of the test chart score. The invention is mainly applied to image processing occasions.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to the quality evaluation of tone mapping images. Specifically, it involves the image quality evaluation method based on color statistics and information entropy without reference tone mapping. Background technique [0002] Image Quality Assessment (IQA) is a research hotspot in the field of image processing. It is mainly divided into subjective quality assessment and objective quality assessment. Subjective assessment requires a large number of subjects, a harsh experimental environment and a long time expenditure. Therefore, Not often used. Objective quality evaluation methods are a major trend in research and are mainly divided into three types: Full Reference (FR), Reduced Reference (RR) and No Reference (NR). In recent years, with the development of display technology, people have relatively high requirements for daily display devices. There are still many problems in the conv...

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Application Information

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IPC IPC(8): H04N17/00
CPCH04N17/00
Inventor 侯春萍李浩岳广辉
Owner TIANJIN UNIV
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