图像的压缩编码技术及其比特流在信息空间上的传输控制，为图像质量的评价提出了新课题。通过分析人类视觉系统(HVS)的视觉非线性、多通道及掩盖效应等特性，建立起相应的图像视觉处理模型，并将原始图像与降质图像变换到感知域进行误差分析。在处理HVS模型的多通道中，将图像的空间频率按视觉系统的掩盖效应特点，分成5个带分别进行滤波，以模拟人眼对图像的主观质量评价特性。实验结果表明这种模拟多通道的图像感知域评价模型，得到的HVS值能充分反映人类视觉系统的掩盖效应的特点，用于对图像质量的评价该模型通用性好，与主观评价结果高度一致。

With the technology of image compression and codec booming, and in order to control the transmission of their bit-stream, the term of image quality is given a kind of new degree and challenge. Today the research of Image Quality Assessment has also become one of the basis technologies in the realm of images and information. This paper analyzed the characters of Human Visual System (HVS) at first, that included the visual nonlinear, multi-channel and masking effect as well, then constituted a kind of mathematic model to simulate the course that the human visual system proceeds the image information. In the model, original images and distorted images are transformed respectively to the perceptual field, that is, both of them are processed by the basic visual nonlinear firstly, and with that enter a band pass filter created by the modulate transform function. During the processing of the multi-channel in the HVS model, according to the characteristic of masking, the function of band pass filter is divided into five bands by the varying spatial frequency of initial image. Finally the value comes into being that we gained from the vision pathways, and then the HVS-E (Error) is obtained. The result from experiments indicates the fine agreement between the HVS-E and the MOS (mean opinion score).