摘要
对文献［１］和［２］所指出的ＤＣ３Ｔ的优越性作了进一步讨论，认为ＤＣ３Ｔ并不具有熵压缩性，说ＤＣ３Ｔ具有能量压缩性是不妥的，ＤＣ３Ｔ的低通滤波性能比之ＤＣＴ加视觉加权量化方案要略逊一筹，ＤＣ３Ｔ加量化的运算量不会比ＤＣＴ加量化的少，因而ＤＣ３Ｔ并不具有比ＤＣＴ更为优越的性能，不会取代ＤＣＴ而广泛应用于图象数据压缩。
The good performances of DC3T pointed out by references and are further discussed in this paper, and the conclusions are as follows: DC3T has no entropy compressibility, it is inapposite to think DC3T to have energy compressibitity, the low pass filter character is somewhat inferior to the performance of DCT followed by psychoadaptive weighted quantization, and the computational cost of DC3T followed by quantization can not be less than that of DCT. Hence DC3T has no superior performance to DCT and can not be widely applied instead of DCT to image data compressing.
关键词
图象数据压缩
离散余弦变换
图象熵
DC3T
image data compressing
discrete cosine transform
image entropy
fast algorithm
