An image coding scheme combining subband coding and the established energy compaction technique of the discrete cosine transform (DCT) with trellis coded quantization (TCQ) is introduced. Image spectrums are split into 16 subband images using a quadrature mirror filter bank, and the DCT is performed on the lowest subband. The data is quantized using TCQ, transmitted and recombined at the receiver. It is shown that quantizing the subband data with TCQ decreases the mean-squared error (MSE) incurred in the quantization step, versus that of a Lloyd-Max scalar quantizer
<p>This paper proposes a new algorithm termed Quad-Tree-DCT (QT-DCT). QT-DCT is a low complexity alg...
\u27Cascade coding,\u27 a technique of double coding an image is introduced in this paper. Blocks of...
This paper investigates a subband coding scheme to reduce the transmission bandwidth of the digitize...
Trellis coded quantization has recently evolved as a powerful quantization technique in the world of...
For transform image coding, we sometimes need to make tradeoffs among subimage size, computational e...
Trellis coded quantization (TCQ) is incorporated into a transform coding structure for encoding mono...
International audienceThe aim of this work is to evaluate the performance of an image compression sy...
In this dissertation, adaptive wavelet and transform coding techniques are presented for low bit-rat...
This paper proposes a new algorithm termed Quad Tree-Discrete Cosine Transform (QT DCT). QT-DCT is a...
Subband and wavelet decompositions are powerful tools in image coding, because of their decorrelatin...
This paper presents a novel image coding scheme based on optimal filter design for subband coding fo...
One of the biggest challenges in the field of image and video processing is evaluating and optimizin...
In this work a novel image coding scheme and a generalized video codec are presented which is based ...
Subband and wavelet decompositions are powerful tools in image coding because of their decorrelating...
Linear transforms are the basis for many techniques used in image processing, image analysis, and im...
<p>This paper proposes a new algorithm termed Quad-Tree-DCT (QT-DCT). QT-DCT is a low complexity alg...
\u27Cascade coding,\u27 a technique of double coding an image is introduced in this paper. Blocks of...
This paper investigates a subband coding scheme to reduce the transmission bandwidth of the digitize...
Trellis coded quantization has recently evolved as a powerful quantization technique in the world of...
For transform image coding, we sometimes need to make tradeoffs among subimage size, computational e...
Trellis coded quantization (TCQ) is incorporated into a transform coding structure for encoding mono...
International audienceThe aim of this work is to evaluate the performance of an image compression sy...
In this dissertation, adaptive wavelet and transform coding techniques are presented for low bit-rat...
This paper proposes a new algorithm termed Quad Tree-Discrete Cosine Transform (QT DCT). QT-DCT is a...
Subband and wavelet decompositions are powerful tools in image coding, because of their decorrelatin...
This paper presents a novel image coding scheme based on optimal filter design for subband coding fo...
One of the biggest challenges in the field of image and video processing is evaluating and optimizin...
In this work a novel image coding scheme and a generalized video codec are presented which is based ...
Subband and wavelet decompositions are powerful tools in image coding because of their decorrelating...
Linear transforms are the basis for many techniques used in image processing, image analysis, and im...
<p>This paper proposes a new algorithm termed Quad-Tree-DCT (QT-DCT). QT-DCT is a low complexity alg...
\u27Cascade coding,\u27 a technique of double coding an image is introduced in this paper. Blocks of...
This paper investigates a subband coding scheme to reduce the transmission bandwidth of the digitize...