No-reference image quality evaluation method based on phase consistency and frequency domain entropy

A reference image and quality evaluation technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as computational time complexity and poor prediction performance

Inactive Publication Date: 2015-08-12
北京牡丹电子集团有限责任公司数字科技中心
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art, provide a no-reference image quality evaluation method based on pha

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  • No-reference image quality evaluation method based on phase consistency and frequency domain entropy
  • No-reference image quality evaluation method based on phase consistency and frequency domain entropy
  • No-reference image quality evaluation method based on phase consistency and frequency domain entropy

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Embodiment Construction

[0031] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0032] A no-reference image quality evaluation method based on phase consistency and frequency domain entropy, comprising the following steps:

[0033]Step 1. Through down-sampling processing, feature extraction processing, and feature fusion processing, the frequency-domain entropy histogram curve features and phase consistency histogram curve features at different scales of the image are used as image quality features.

[0034] In this step, downsampling processing, feature extraction processing, and feature fusion processing are included, which are described below:

[0035] (1) Down-sampling process: the input image is down-sampled twice at a magnification of 2, and images of 3 scales of the input image are obtained, namely, the original scale image, the down-sampled image at 2 magnification and the down-sampled image at 4 magnification;

[003...

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Abstract

The invention relates to a no-reference image quality evaluation method based on phase consistency and frequency domain entropy, which is characterized by the steps of using frequency domain entropy histogram curve features and phase consistency histogram curve features of an image under different scales to act as features of the image quality through down-sampling processing, feature extraction processing and feature fusion processing; and mapping the acquired features into an image quality score by using a two-step framework for no-reference image quality evaluation. According to the invention, the histogram curve features of a phase consistency value of the image are used to replace the histogram curve features of the space entropy in an SSEQ algorithm, thereby being capable of carrying out quality evaluation on the image quickly and robustly under the condition that the image is distorted with the type being unknown, improving the consistency between an algorithm prediction score and subjective scoring, reducing the computation time complexity of the algorithm, and having higher prediction accuracy and lower computation time complexity.

Description

technical field [0001] The invention belongs to the technical field of image quality evaluation, in particular to a no-reference image quality evaluation method based on phase consistency and frequency domain entropy. Background technique [0002] The purpose of objective image quality evaluation is to establish models that can perform image quality evaluation so that these models can give an image quality score that is as close as possible to human subjective visual perception. With the development of communication technology and the widespread application of digital images, objective image quality evaluation has become an important issue in many image applications, such as image acquisition, transmission, compression, restoration and enhancement. Since subjective image quality assessment methods cannot be used in real-time and automated systems, it becomes increasingly necessary to develop objective image quality assessment methods that can measure image quality automatica...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T7/149G06T7/97
Inventor 赵茂铮白旭任婧婧
Owner 北京牡丹电子集团有限责任公司数字科技中心
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