An Objective Image Quality Evaluation Method Based on Manifold Feature Similarity

一种客观评价方法、特征相似度的技术,应用在图像增强、图像分析、图像数据处理等方向

一种客观评价方法、特征相似度的技术,应用在图像增强、图像分析、图像数据处理等方向

CN105447884BActive Publication Date: 2017-11-24NINGBO UNIV

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  • An Objective Image Quality Evaluation Method Based on Manifold Feature Similarity
  • An Objective Image Quality Evaluation Method Based on Manifold Feature Similarity
  • An Objective Image Quality Evaluation Method Based on Manifold Feature Similarity

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Embodiment Construction

[0031] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0032] An excellent image quality evaluation method should be able to well reflect the characteristics of human visual perception. Regarding the phenomenon of visual perception, some studies have shown that manifolds are the basis of perception, and human perception is based on cognitive manifolds and topological continuity, that is, human perception is limited to low-dimensional manifolds, and the brain uses manifolds Perceive things; the activity of neuron populations in the brain can usually be described as the result of a collection of neural firing rates, so it can be represented as a point in an abstract space whose dimension is equal to the number of neurons. The study found that the firing rate of each neuron in a neuron population can be represented by a smooth function of a few variables, which indicates that the activity of neuron p...

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Abstract

The invention discloses an objective evaluation method of image quality based on the similarity of manifold features, which first adopts two strategies of visual salience and visual threshold to remove image blocks that are not important to visual perception, that is, image block rough selection and fine selection process After completing the block selection, use the best mapping matrix to extract the manifold feature vector of the image block selected from the original undistorted natural scene image and the distorted image to be evaluated, and then measure the distorted image by the similarity of the manifold feature Structural distortion; after considering the impact of image brightness changes on the human eye, the brightness distortion of the distorted image is calculated based on the average value of the image block; finally, the quality score is obtained according to the structural distortion and brightness distortion, which makes this method have higher evaluation accuracy , also expands its ability to evaluate various types of distortion, and the evaluation performance is not affected by the image content and distortion type, and has a high consistency with the subjective perception quality of the human eye.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to an objective image quality evaluation method based on manifold feature similarity. Background technique [0002] Quantitative evaluation of image quality is a challenging problem in the field of image processing. Since humans are the ultimate recipients when viewing images, image quality assessment methods should be as effective in predicting perceived visual quality as humans. Although the traditional image quality evaluation methods based on fidelity such as Peak Signal-to-Noise Ratio (PSNR) can better evaluate the image quality with the same content and distortion, but in the face of multiple images and multiple When there is such a distortion, the evaluation result is far from the subjective perception. The purpose of the perceptual quality evaluation method is to obtain an evaluation result with high consistency with the visual perception quality by simulating the over...

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Application Information

Patent Timeline
24 Nov 2017
Publication
CN105447884B
IPC
G06T7/00; G06T7/90; G06V10/56; G06V10/774
CPC
G06T7/00; G06T2207/30168; G06T2207/20081; G06T7/90; G06V10/993; G06V10/56; G06V10/7715; G06V10/774
Inventors
郁梅; 王朝云