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The Image Quality Assessment Technique Based on SVM and HVS

Author: ZhuJiaJia
Tutor: SunZhiXin
School: Nanjing University of Posts and Telecommunications
Course: Computer Software and Theory
Keywords: HVS SVM Wavelet Transform Average Subjective Brightness Blocking Effects
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 154
Quote: 1
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Abstract


With the rapid development of IT, the demand of image processing technology in all aspects of our human society is increasingly apparent. During image processing, the problems of image quality have become increasingly prominent, IQA comes into being. IQA is widely used in areas such as transportation, medical care, monitoring and it is necessary to study the corresponding method of IQA. The results of the IQA can be used to measure and optimize the performance of the image processing system. In the practical application of image processing, we will encounter a variety of images of uneven quality grades, how to accurately assess the quality and give advice for further processing has a very important practical value.Having studied the old papers related to IQA, especially the objective IQA, this paper describes their ideas and then analyzes their advantages and disadvantages. Through the analysis of the image characteristic parameters, this paper puts forward our own IQA model named HS-IQAM, which made the assessment accord with subjective feeling of the human eyes and apply in the fields of real-time efficient to various practical situations. From the results it can be seen, after being tested for many times, that the accuracy of the training sample and the accuracy of the test sample are both in a very high level, besides, memory occupancy rate and CPU occupancy rate is relatively low, which reflects that the proposed image quality assessment model HS-IQAM is of superior performance.The proposed core ideas of the image quality assessment method based on HVS and SVM has applied for patents. In practical school-enterprise project, we develop a system of image quality assessment based on SVM and HVS. After enough tests the system have successfully passed the audit of Huawei corporation, and it is already used in video analysis system.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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