指出了峰峰值信噪比PSNR用于图象质量评价的缺点，提出了一个直接量解压缩图象质量的客观指标－细节信噪比DSNR，它能客观反映细节信号能量和噪声对图象质量的影响。实验证明，在相同场景中DSNR能较好地反映PSNR的变化，因而可以用于同一图象的不同压缩图象以及图象序列的评价。

The disadvantage of PSNR, the most common objective measure to evaluate the decompressed images, is pointed out. A new measure named DSNR (Detail SignalNoise Ratio) is therefore proposed. DSNR can be calculated by abstracting energy of detail signal and noise. Using DSNR, the quality of decompressed images can be directly measured without the original (uncompressed) images. Our experiments show that DSNR of different images in the same scene changes congruously with PSNR, thus can be used to evaluate the quality of decompressed images and image sequences.