基于视觉感知的梯度结构相似度图像质量评价方法-计算机软件与理论专业论文.docx

AbstractImage Abstract Image quality is an important basis for a measure of image processing algorithms good bad and optimize system parameters，thus building effective image quality evaluation methods in the field of image acquisition，encoding and transmission is very significance．In recent years，with the rapid development of image processing technology,image quality assessment received extensive attention of scholars both at home and abroad and corporate，sprung up many image quality assessment algorithm， the quality of the typical model based human visual system evaluation model and quality evaluation model based structure similarity,etc．Current joint video team has the quality assessment algorithm based structure similarity the important indexes for evaluation of image quality，introduced to new generation of video compression coding standard h．264，the calibration model． Image quality assessment is divided into two kinds of subjective and objective evaluation methods．Among them，the subjective evaluation method need more repeated experiments，the time is long，cost is high，the operability is poo r．And objective evaluation method has low cost，simple operation and easy to embedded implementation etc，and become the focus of the researches the current image quality evaluation．In recent years，based human visual system model，puts forward the related image quality evaluation method．Structure similarity method mainly based on the independence of the relationship between light and object structure，the brightness and contrast separates from the image structure information，combined with the structure of the image information to evaluate the image quality．This method to some extent，avoid the complexity and multi—channel image content and other issues，trying to simulate the human visual system in extracting the object structure shown by the visual capabilities and features as whole，and the algorithm is relatively simple，easy to implement embedded． Structural similarity algorithm a