As the military and industry is developing dramatically , to enhance the low - contrast digital image has become one of the important areas in image processing . there are two traditional methods to enhance the low - contrast digital image : the methods based on frequency and the method based on time . the histogram enhancement , the most popular way to enhance , is representing the latter one ; while the methods based on frequency often uses wavelet transform , ft ( flourier transform ) , dct ( discrete cosine transform ) to enhance 随着军事和工业上的发展需要,低对比度数字图像的增强越来越成为数字图像处理中的一个重要领域,传统的增强方法分为频域法和空域法两大类,其中空域法的代表为直方图增强法,这也是最为流行的增强方法,频域法中用的较多的是基于小波变换,傅立叶变换和离散余弦变换的增强方法,本文介绍的是基于小波神经网络的频域增强法。
The third part proposes a new compression and coding scheme with dct ( discrete consine transform ) and wavelet transform through solving the problem that is dfd ( displaced frame difference ) after motion compensation has many high - frequency coefficients which handicap compression . the new dfd which is preprocessed with dct is adaptive to wavelet transform . the new algorithm has been tested with experiment and achieved the higher psnr than the original algorithm , which proves its availability 第三部分针对基于dfd (差值帧)的小波视频压缩算法中运动补偿后的dfd具有较多的高频信号、不利于小波变换的缺陷,提出了小波变换和dct (离散余弦变换)相结合的混合编码方案,使得经过dct处理后的新的dfd更加适合于小波变换,小波变换后的高频系数大大减少,有利于压缩。
Discrete cosine transform ( dct ) is one of common transform encoding technique in common use of image compression . because such advantages as relatively matured theory , arithmetic and hardware ; ease to move relativity ; fit human vision system ; less calculation ( not include plural calculation ) : ease to realize and so on , dct compression is widely used 离散余弦变换( dct )是图像压缩中经常用到的正交变换编码技术,由于理论、算法和硬件相对成熟,去相关性好,适应人眼的视觉特性,计算量不大(没有复数计算) ,易于实现等优点, dct压缩编码的应用非常广泛。