A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Techniques and standards for image, video, and audio coding
Techniques and standards for image, video, and audio coding
Transform Coding of Images
Image coding with modulated wavelets
Pattern Recognition Letters
Embedded image coding using zerotrees of wavelet coefficients
IEEE Transactions on Signal Processing
The multicomponent AM-FM image representation
IEEE Transactions on Image Processing
Region adaptive subband image coding
IEEE Transactions on Image Processing
Image coding based on a morphological representation of wavelet data
IEEE Transactions on Image Processing
Fast adaptive wavelet packet image compression
IEEE Transactions on Image Processing
Texture segmentation using modulated wavelet transform
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
| Hi-index | 0.10 |
High quality, embedded, variable rate image compression can be achieved by decomposing an image into subbands of different sizes, modeling with one significant AM-FM component as well as encoding with a distinct procedure for each subband. In this paper, an adaptive subband decomposition using the modulated wavelet packet transform is proposed, where the adaptation of modulating frequencies is based on the energy spectral density in a resolution-recursive framework; and, each subband can be well represented by the modulated wavelets. An extension of SPIHT algorithm that is needed for encoding the complex-valued modulated wavelet coefficients is also presented. Experimental results show that the modulated wavelet subband image coding is preferable to both the wavelet coding and the JPEG standard.