Method for objectively evaluating quality of degraded reference three-dimensional picture

Abstract

The invention discloses a method for objectively evaluating the quality of a degraded reference three-dimensional picture. An evaluation indicator of the method is composed of two parts including left-right view point picture quality and depth sensing. According to the method, the multi-channel character after wavelet decomposition is carried out on a left view point and a right view point of the three-dimensional picture, and the character that a picture category which can be represented by a picture singular value has high stability are utilized, and singular value decomposition is carried out on sub-bands. The characteristics of the picture are extracted through the singular value obtained after decomposition serve as a characteristic value of a semi-reference model. Weighting is carried out on the characteristic values of the sub-bands due to combination of information entropy and contrast sensitivity characters, and a final result is obtained. According to the method, transmission bandwidth needed when the quality of the picture is evaluated is saved effectively while the quality evaluation result is ensured, and advantages and disadvantages of a processing algorithm of the three-dimensional picture can be reflected objectively.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to an objective evaluation method for quality degradation reference stereoscopic image quality. Background technique [0002] With the continuous development of 3D encoding and display technology, 3D images have been widely integrated into human social life, such as 3D TV, 3D movies, naked-eye 3D, etc. have become more common. However, more or less distortions of different degrees and types will be introduced in the process of stereoscopic image acquisition, compression, encoding, transmission, display, etc. Therefore, image quality evaluation is indispensable. Image quality evaluation can be divided into two categories: subjective evaluation and objective evaluation. How to use objective models to accurately evaluate the quality of stereoscopic images has become a key issue in the field of image research. At present, there are full-reference and no-reference methods for stereo...

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Problems solved by technology

However, the full-reference method needs to use the original image at the receiving end when evaluating the image quality, so it has higher requirements for the transmission channel; and the no-reference method, because there is no reference image, so the consistency between the objective evaluation result and the subjective perception poor

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