Low complexity finite-state scalar quantization of image subbands

This paper presents an image coding technique based on the combination of subband decomposition, entropy coding and three different forms of quantization: scalar quantization, finite-state scalar quantization (FSSQ) and predictive FSSQ (PFSSQ). In addition to being fast and requiring no training for...

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Bibliographic Details
Main Authors: Ginesta, X., Sambhwani, S., Kim, S.P.
Format: Conference Proceeding
Language:English
Subjects:
Bit rate
Decoding
Discrete cosine transforms
Entropy coding
Image coding
Image reconstruction
Pixel
Quantization
Statistics
Transform coding
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Summary:This paper presents an image coding technique based on the combination of subband decomposition, entropy coding and three different forms of quantization: scalar quantization, finite-state scalar quantization (FSSQ) and predictive FSSQ (PFSSQ). In addition to being fast and requiring no training for quantizer design, the technique has been shown to be competitive with other existing methods. In one of our experiments for example, we encoded the luminance component of the standard image Lena at 0.123 bits per pixel with a PSNR of 30.62 dB.
ISSN:1058-6393
2576-2303
DOI:10.1109/ACSSC.1995.540624