Paper
18 January 1988 A Hybrid Coding Scheme For Still Images : Adaptive Vector Quantization With Correction Information In Dct Domain
G . Tu, G. Verbeek, J. Rommelaere, A Oosterlinck
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Abstract
An adaptive image coding system is presented, in which vector auantization (VO) is implemented in the discrete cosine transformed (DCT) domain to manipulate the stationary image data according to their features. The errors resulted by VQ, viewed as non-stationarity of the data, are evaluated and an adaptive correction operation is carried out using scalar correction quatizers (SCQ). Moreover, the DC-coefficients are also vector quantized. This coding system has been simulated for natural images and an improvement of more than 3 dB is obtained in comparison to traditional DCT coding systems.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
G . Tu, G. Verbeek, J. Rommelaere, and A Oosterlinck "A Hybrid Coding Scheme For Still Images : Adaptive Vector Quantization With Correction Information In Dct Domain", Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); https://doi.org/10.1117/12.942117
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Cited by 1 scholarly publication.
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KEYWORDS
Quantization

Signal to noise ratio

Image processing

Digital image processing

Image compression

Data corrections

Signal processing

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