A Transmission-Based Construction Method of Degraded Image Subjective Quality Material Library

Abstract

The invention discloses a degradation-image subjective quality material library construction method based on transmission. The method comprises the following steps of S1, defining and constructing material library correlation concept; S2, according to a definition, selecting a raw material; S3, acquiring a degradation material based on transmission; S4, grouping degradation images; S5, evaluating an environment and evaluating condition setting; S6, evaluating subjective quality; S7, carrying out evaluated data processing, which includes evaluated image and volunteer screening; and S8, determining the subjective quality corresponding to each image. The method is suitable for image quality evaluation and restoration under a communication background; a simulation mode is used to acquire the degradation images so that consumption of manpower and material resources during real transmission can be avoided; and simultaneously two kinds of schemes with different robustness are taken as a source compression mode so as to carry out channel transmission error code simulation, and an error code rate is arranged according to data acquired from a real communication experiment. Besides, a maximum probability principle is used to determine a final quality grade of each image so that an influence of an evaluation sample with a large deviation on a result is avoided.

Description

technical field [0001] The invention relates to a method for constructing an image material library, in particular to a method for constructing a material library of degraded image subjective quality based on transmission. Background technique [0002] Multimedia materials such as images have intuitive effects that cannot be compared with text. In recent years, due to the rapid development of portable image devices, the demand for image-related services, such as image restoration and image transmission, has also increased year by year. A major standard for measuring the performance of these services is For image quality, it is undeniable that the quality evaluation of digital images has become a key link in many image processing businesses. The evaluation of image quality is divided into subjective quality evaluation and objective quality evaluation. Since the final receiver of the image is the viewer of the image, the subjective quality of the image can better represent the...

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Problems solved by technology

The image may be degraded in two aspects during the transmission process. On the one hand, it comes from the compression degradation caused by the lossy compression of the source, and on the other hand, it comes from the bit error caused by the channel packet loss during transmission. Therefore, in the transmission-based degraded image quality material library During construction, the design of the degradation simulation will be different from the conventional degradation image, and the image quality material library construction standards applicable to normal conditions are not necessarily applicable to the construction of the transmission-based degradation image quality material library

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