A new variable-rate embedded quantization technique, called Embedded Entropy-Constrained Trellis Coded Quantization (E-ECTCQ) is developed. Its performance is compared to that of variable-rate embedded scalar quantizers. Simulations indicate that performance depends both upon the number of embedded quantization stages and the number of trellis states.

We present a new Trellis Coded Vector Residual Quantizer (TCVRQ) that combines trellis coding and vector residual quantization. We introduce new methods for computing quantization levels and experimentally analyze the performances of our TCVRQ in the case of speech coding at very low bit rates. The results obtained show that transparent quantization of Linear Prediction (LP) parameters can be p...

This paper proposes a novel implementation of the core processors, intra prediction, the integer transform, quantization, inverse quantization and inverse transformation for H.264 Video Encoder using an FPGA. It is capable of processing video frames with the desired compression controlled by the user input. The algorithm and architecture of the core modules of the video encoder namely, horizont...

This report presents some new techniques to improve the performance of a Fixedrate Entropy-coded Trellis Quantizer (FE-TCQ) in transmission over a noisy channel. In this respect, we rst present the optimal decoder for a Fixed-rate Entropy-coded Vector Quantizer (FEVQ). A trellis structure is used to model the set of possible codewords in the FEVQ and the Viterbi algorithm is subsequently applie...

Compress-forward (CF) relays can improve communication rates even when the relay cannot decode source signal. Efficient implementation of CF is a topic contemporary interest, in part because its potential impact on wireless technologies such as cloud-RAN. There exists gap between performance implementations high spectral efficiency regime and corresponding information theoretic achievable rates...

This paper proposes an FPGA implementation of Integer transform and quantization blocks of H.264 video encoder. The algorithm and architecture of the components of the integer transformation, quantization was developed, designed and coded in VHDL. The above specified blocks of H.264 were coded in Matlab in order to verify the results of VHDL implementation. The processor is implemented on a Xil...

This paper presents a new algorithm for reducing quantization artifacts in transform coded images. For transform coded signals, we analytically show that one can determine linear subspaces where most of the quantization artifacts reside. We formulate statistical constraints that identify these subspaces and propose a simple algorithm that removes them. Our formulation is general and is not tied...

Abst rac t Experimental results of the quantization of Linear Predictive Coded (LPC) coefficients using two general approaches, scalar coefficient quantization and vector quantization, are presented. The LPC coefficients were quantized in several domains: Line Spectral Frequency (LSF), cepstral, predictor, reflection and autocorrelation. Two distortion measures were used to evaluate the quantiz...

To process previously JPEG coded images the knowledge of the quantization table used in compression is sometimes required. This happens for example in JPEG artifact removal and in JPEG re-compression. However, the quantization table might not be known due to various reasons. In this paper, a method is presented for the maximum likelihood estimation (MLE) of the JPEG quantization tables. An effi...