基于主观视觉特性的压缩编码方法突破了传统编码技术中以MSE作为评判标准的限制，将人眼视觉特性结合到编码算法中，以实现最低比特位率和最好视觉效果．目前该技术的研究已有较大进展，但仍存在许多问题有待研究解决．本文系统地介绍了现有的基于视觉特性的压缩编码方法，同时讨论了应用在JPEG-2000和MPEG-4中的一些视觉编码技术，通过研究总结出以下结论：图象质量的客观评价、感兴趣区域的自动确定以及任意对象的识别与分割是基于视觉特性的编码技术中存在的主要问题，也是今后进一步研究发展的方向。

The visual-characteristic-based compression technique breaks through the restriction of the traditional image compression technique that uses MSE as criterion, and combines the human visual characteristic with the coding arithmetic, in order to achieve the lowest bit rate and the best perceptual image quality. Now, much headway has been made in the research of this technique, but there still are many problems to be researched on. This paper systematically introduces the existing methods of this compression technique, and discusses some visual coding techniques that applied in JPEG-2000 and MPEG-4 standards. After researching on the techniques. Some results and conclusion are gaven as follow:perceptual measurement of the image quality, automatic ascertainment of the region-of-interest and recognition and segmentation of the arbitrary object are the main problems existing in the visual-characteristic-based coding technique, and they are also the research direction for the future.