Resolution Scalable Image Coding with Dyadic Complementary Rational Wavelet Transforms
نویسندگان
چکیده
Traditional wavelet-based image coders use dyadic multiresolution decompositions, resulting in spatial resolutions that are also dyadic in scale, i.e., powers of 1/2 the original resolution. In this paper, we increase the set of decodable spatial resolutions beyond dyadic scales by introducing a two-dimensional wavelet decomposition made of combining wavelet transforms of non-integer dilation factors. We describe how the proposed wavelet decomposition can produce spatial resolutions related to the original resolution by dyadic and non-dyadic ratios, and present how the resulting subband structure can be made compatible with zerotree-based subband coders.
منابع مشابه
Using iterated rational filter banks within the ARSIS concept for producing 10 m Landsat multispectral images
The ARSIS concept is meant to increase the spatial resolution of an image without modification of its spectral contents by merging structures extracted from a higher resolution image of the same scene but in a different spectral band. It makes use of wavelet transforms and multiresolution analysis. It is currently applied in an operational way with dyadic wavelet transforms that limit the mergi...
متن کاملComparison of Spatial M-band Filter Banks for t+2D Video coding
Some of the most powerful schemes for scalable video coding are based on the so-called t+2D paradigm. In these schemes, temporal redundancy is first exploited through a motion-compensated multiresolution decomposition and the resulting temporal subband frames are then generally spatially decomposed with a wavelet transform. Thus, temporal and spatial scalability are achieved, in particular when...
متن کاملModifying integer wavelet transforms for scalable near-lossless image coding
In near-lossless image coding, each reconstructed pixel of the decoded image differs from the corresponding one in the original image by not more than a pre-specified value δ. Such schemes are mainly based on predictive coding techniques, which are not capable of scalable decoding. Lossless image coding with scalable decoding is mainly based on integer wavelet transforms. In this paper, methods...
متن کاملLapped Transforms in a JPEG 2000 Coder
JPEG-2000 is the latest image coding standard and is based on wavelet transforms and dyadic spectral decompositions. We have adapted the JPEG-2000 image coder for use with uniform transforms, by replacing the wavelet stage by lapped transforms. We set code-blocks that do not cross subband boundaries and encode the lapped transform coefficients directly as if they were wavelet ones. Results indi...
متن کاملTexture Classification of Diffused Liver Diseases Using Wavelet Transforms
Introduction: A major problem facing the patients with chronic liver diseases is the diagnostic procedure. The conventional diagnostic method depends mainly on needle biopsy which is an invasive method. There are some approaches to develop a reliable noninvasive method of evaluating histological changes in sonograms. The main characteristic used to distinguish between the normal...
متن کامل