Improved compression by coupling of coding techniques and redundant transform

The techniques commonly used in image coding (JPEG, MPEG, ...) have as the main objective to compress as much as possible while retaining most of the information. These methods are often based on the use of the discrete cosine transform (DCT) and the wavelet transform (WT). Our purpose is to conside...

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Bibliographic Details
Main Authors: Poussard, A.-M., Olivier, C., Wu, J.H., Chatellier, C.
Format: Conference Proceeding
Language:English
Subjects:
Couplings
Decorrelation
Discrete cosine transforms
Discrete transforms
Discrete wavelet transforms
Image coding
Image communication
Karhunen-Loeve transforms
Quantization
Wavelet transforms
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Summary:The techniques commonly used in image coding (JPEG, MPEG, ...) have as the main objective to compress as much as possible while retaining most of the information. These methods are often based on the use of the discrete cosine transform (DCT) and the wavelet transform (WT). Our purpose is to consider the necessary redundancy to achieve a good reception in the case of heavy interruptions of bits transmission. There is however a contradiction between an optimal compression and the redundancy required. It is thus necessary to master and compress the information to be transmitted as much as possible and to withstand the noise on the transmission channel. This article makes a contribution to this difficult problem: its originality resides in the coupling of orthogonal transforms and a redundant transform. Simulation results are provided using our method and the results are compared with that of DCT and WT based methods for Lena and Mountain images.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2000.899591