Reversible integer-to-integer (I2I) mapping of orthonormal transforms are vital for developing losslesscoding with scalable decoding functionalities. A general framework for reversible I2I mapping of N-point, where N...
详细信息
Reversible integer-to-integer (I2I) mapping of orthonormal transforms are vital for developing losslesscoding with scalable decoding functionalities. A general framework for reversible I2I mapping of N-point, where N is a positive integer power of 2, orthonormal block transforms using recursive factorization of such transform matrices and the lifting scheme is presented. Designs include the discrete cosine transform (DCT) that maps integers to integers (I2I-DCT), the discrete sine transform that maps integers to integers (I2I-DST) and the Walsh-Hadamard transform that maps integer to integers (I2I-WHT). The main significant feature of these designs is that the transform coefficients are normalized according to the conventional scaling factors, which is vital for embedded coding, while preserving the integer-to-integer mapping and perfect reconstruction. This makes these transforms usable in both lossless and lossy imagecoding, especially in scalable losslesscoding. These generic N-point design of the above transforms enables evaluating the effect of block sizes of such transforms in losslesscoding. The performance is evaluated in terms of losslessimage and videocoding, quality scalable decoding, complexity and lifting step rounding effects. (c) 2006 Elsevier B.V. All rights reserved.
In this paper a general framework for N-point, where N=2(d) with d is an element of Z and d > 0, orthonormal block transforms that map integers to integers using the lifting scheme is presented. The design of the D...
详细信息
ISBN:
(纸本)0819450235
In this paper a general framework for N-point, where N=2(d) with d is an element of Z and d > 0, orthonormal block transforms that map integers to integers using the lifting scheme is presented. The design of the Discrete Cosine Transform (DCT) that maps integers to integers (I2I-DCT), the Discrete Sine Transform that maps integers to integers (I2I-DST) and the Walsh Hadamard Transform that maps integer to integers (I2I-WHT) is presented. The main significance of this design is that the orthonormal property of the transforms is maintained by proper normalisation while preserving the integer to integer mapping and perfect reconstruction. This makes these transforms usable in both lossless and lossy imagecoding, especially in scalable losslesscoding. The coding performance of these transforms is evaluated in losslessimagecoding and losslessvideocoding applications.
暂无评论