Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
Block-based adaptive vector lifting schemes for multichannel image coding
Journal on Image and Video Processing
A two-dimensional fast lattice recursive least squares algorithm
IEEE Transactions on Signal Processing
An image multiresolution representation for lossless and lossy compression
IEEE Transactions on Image Processing
M-band nonlinear subband decompositions with perfect reconstruction
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS
IEEE Transactions on Image Processing
Adaptive polyphase subband decomposition structures for image compression
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Nonlinear wavelet transforms for image coding via lifting
IEEE Transactions on Image Processing
Image coding using wavelet transform
IEEE Transactions on Image Processing
On 2-D recursive LMS algorithms using ARMA prediction for ADPCM encoding of images
IEEE Transactions on Image Processing
Hi-index | 0.08 |
Still image coding occasionally uses linear predictive coding together with multi-resolution decompositions, as may be found in several papers. Those related approaches do not take into account all the information available at the decoder in the prediction stage. In this paper, we introduce an adapted generalized lifting scheme in which the predictor is built upon two filters, leading to taking advantage of all the available information. With this structure included in a multi-resolution decomposition framework, we study two kinds of adaptation based on least-squares estimation, according to different assumptions, which are either a global or a local second order stationarity of the image. The efficiency in lossless coding of these decompositions is shown on synthetic images and their performances are compared with those of well-known codecs (S+P, JPEG-LS, JPEG2000, CALIC) on actual images. Four images' families are distinguished: natural, MRI medical, satellite and textures associated with fingerprints. On natural and medical images, the performances of our codecs do not exceed those of classical codecs. Now for satellite images and textures, they present a slightly noticeable (about 0.05-0.08bpp) coding gain compared to the others that permit a progressive coding in resolution, but with a greater coding time.