Reference-free image quality evaluation method based on Walsh-Hadamard transformation

A quality evaluation and reference image technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of inaccurate grasp of various distortion relationships and insufficient understanding of multi-distortion images, and achieve excellent performance and strong consistency. Effect

Inactive Publication Date: 2017-03-29
TIANJIN UNIV
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Problems solved by technology

Existing research does not have a thorough understanding of multi-distortion images, and the relationship between various distortions is not accurate enough. However, since most images in real life are multi-distortion images, the image quality evaluation for mixed distortion will be the future image quality. Focus of research in the field of quality evaluation

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  • Reference-free image quality evaluation method based on Walsh-Hadamard transformation
  • Reference-free image quality evaluation method based on Walsh-Hadamard transformation
  • Reference-free image quality evaluation method based on Walsh-Hadamard transformation

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Embodiment Construction

[0017] The present invention proposes a no-reference image quality evaluation method based on Walsh Hadamard transform, and its overall realization block diagram is as follows figure 1 shown. In order to make the technical solution of the present invention clearer, the specific implementation manners of the present invention will be further described below.

[0018] 1. Database selection

[0019] The experimental materials are two mixed distortion image databases, MLIVE and MDID2013. The MLIVE database contains two subsets. Each subset contains 15 reference images and their corresponding 225 distortion images of different degrees. The MDID2013 database contains 12 reference images and their corresponding 324 distorted images of different degrees. For details of the database, see Table 1.

[0020] Table 1 Database information

[0021]

[0022] 2. Image transformation, get the local Walsh Hadamard transformation map of the image through LWHT

[0023] Given an image I, it...

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Abstract

The invention relates to a reference-free image quality evaluation method based on Walsh-Hadamard transformation. The method comprises steps that distortion images for training are selected; image transformation for each distortion image is carried out to acquire a local Walsh-Hadamard transformation image of the each distortion image; a rotation invariant uniform LBP operator is applied to zero sequency items and non-zero sequency items in three scales to carry out image characteristic extraction; for characteristic training, an SUR network is utilized to carry out characteristic training to acquire an image characteristic to subjective quality score mapping relationship model, the model is taken as an evaluation module, and image quality is evaluated.

Description

technical field [0001] The invention belongs to the field of image quality evaluation and relates to a reference-free image quality evaluation method. Background technique [0002] With the rapid development of display technology, people put forward higher requirements for image quality in the process of using various electronic products, and image quality evaluation plays a vital role in obtaining high-quality images. Image quality evaluation methods can be divided into subjective evaluation methods and objective evaluation methods. According to the degree of dependence of the algorithm on the original undistorted image, objective evaluation methods can be divided into full-reference image quality assessment (FR-IQA) algorithm and reduced-reference image quality assessment (RR-IQA) algorithm. IQA) algorithm and no-reference image quality assessment (no-reference image quality assessment, NR-IQA) algorithm. [0003] In recent years, with the deepening of image quality eval...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002
Inventor 侯春萍刘月岳广辉马彤彤冯丹丹
Owner TIANJIN UNIV
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