公开(公告)号：US20160255347A1

公开(公告)日：2016-09-01

申请号：US15027621

申请日：2014-09-24

申请人： Jean-Claude COLIN

发明人： Than Merc-Eric GERVAIS ,  Bruno LOUBET ,  Nicolas BESSOU ,  Yves GUIMIOT ,  Mickael PETITFILS ,  Sebastien ROQUES

IPC分类号： H04N19/124 ,  H04N19/172 ,  H04N19/136 ,  H04N19/187 ,  H04N19/635

CPC分类号： H04N19/124 ,  H04N19/136 ,  H04N19/172 ,  H04N19/187 ,  H04N19/63 ,  H04N19/635

摘要： An encoding method for encoding successive layers of an initial matrix into a compressed matrix and restoring it as a restored matrix, each cell of the initial matrix containing a respective initial numerical value; each cell of the compressed matrix containing a respective compressed numerical value corresponding to the respective initial numerical value; each cell of the restored matrix containing a respective restored numerical value corresponding to the respective initial numerical value; is characterized in that to encode, one applies: —wavelet transforms applied to the entire matrix over a limited number of levels, such that a residual level remains with dimensions larger than or equal to 2×2; then, a differential encoding of the residual level, i.e., a compression of the residual level by obtaining differences with each of the values of the residual level.

摘要翻译： 一种用于将初始矩阵的连续层编码成压缩矩阵并将其恢复为恢复矩阵的编码方法，所述初始矩阵的每个单元包含相应的初始数值; 压缩矩阵的每个单元包含对应于相应的初始数值的相应的压缩数值; 恢复的矩阵的每个单元包含对应于相应的初始数值的相应恢复的数值; 其特征在于，对于编码，应用：在有限数量的层次上应用于整个矩阵的小波变换，使得剩余水平保持尺寸大于或等于2×2; 然后，通过获得与剩余电平的值中的每一个值的差异，残差电平的差分编码，即残差电平的压缩。

公开(公告)号：US20170213107A1

公开(公告)日：2017-07-27

申请号：US15328772

申请日：2015-07-09

申请人： Jean-Claude COLIN

发明人： Than Marc-Eric GERVAIS ,  Bruno LOUBET ,  Nicolas BESSOU ,  Yves GUIMIOT ,  Mickael PETITFILS ,  Sebastien ROQUES

IPC分类号： G06K9/62 ,  G06K9/46 ,  H04N19/186 ,  H04N19/12 ,  H04N19/182

CPC分类号： G06K9/628 ,  G06K9/4652 ,  G06K9/6276 ,  H04N1/642 ,  H04N19/12 ,  H04N19/136 ,  H04N19/182 ,  H04N19/186 ,  H04N19/593 ,  H04N19/63

摘要： A method for compressing an image, includes: calculating a level of hues of the image over at least all of one layer of the image; depending on the type of hues of the representative layer, classifying the image in one of the following three classes: a first class if the image is of a graphics type; a second class if the image is of a highly contrasted type; a third class if the image is of a low-contrasted type; and, choosing a compression processing type depending on the class of the image: difference processing, if the image is of the first class; frequency processing, if the image is of the third class; and, if the image is of the second class: for lossless or low-loss compression, preferably using difference processing, and, in the other cases preferably using frequency processing.