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We study lossy-to-lossless compression of medical volumetric data using three-dimensional (3-D) integer wavelet transforms. To achieve good lossy coding performance, it is important to have transforms that are unitary. In addition to the lifting approach, we first introduce a general 3-D integer wavelet packet transform structure that allows implicit bit(More)
This paper considers TCQ and LDPC codes for the quadratic Gaussian Wyner-Ziu problem. After TCQ of the source input X, LDPC codes are used to implement Slepian-Wolf coding of the quantized source input Q(X) given the side information Y at the decoder. Assuming ideal Slepian-Wolf coding in the sense of achieving ,the theoretical limit H (Q (X) I Y) , it is(More)
—We study the problem of packetizing embedded multimedia bitstreams to improve the error resilience of source (compression) codes. This problem is important because of the increasing popularity of embedded compression methodology [1]–[7] and its suitability for scalable streaming media [8], [9] over IP or/and mobile IP. We study various packetization(More)
—Belief propagation (BP) is a powerful algorithm to decode low-density parity check (LDPC) codes over additive white Gaussian noise (AWGN) channels. However, the traditional BP algorithm cannot adapt efficiently to the statistical change of SNR in an AWGN channel. This paper proposes an adaptive scheme that incorporates a particle filtering (PF) algorithm(More)
—In this paper, we propose a system using video cameras to perform vehicle identification. We tackle this problem by reconstructing an input by using multiple linear regression models and compressed sensing, which provide new ways to deal with three crucial issues in vehicle identification , namely, feature extraction, online vehicle identification database(More)
—Nested lattice quantization provides a practical scheme for Wyner–Ziv coding. This paper examines the high-rate performance of nested lattice quantizers and gives the theoretical performance for general continuous sources. In the quadratic Gaussian case, as the rate increases, we observe an increasing gap between the performance of finite-dimensional(More)
Driven by a host of applications, distributed source coding (DSC) has assumed renewed interest in recent years. Wyner-Ziv coding (WZC), which deals with the rate-distortion problem with side information available only at the decoder, is one case of DSC. In this paper, we focus on successive refinement of the Wyner-Ziv problem described in [1]. Similar to(More)