29 June 2000 Wavelet-based image compression using randomized quantization
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Proceedings Volume 4041, Visual Information Processing IX; (2000); doi: 10.1117/12.390486
Event: AeroSense 2000, 2000, Orlando, FL, United States
Abstract
We applied dithered quantization to image compression using a wavelet transform, scalar quantization method. The results indicate that dithered quantization could change the noise characteristics of the reconstructed image.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Samuel Peter Kozaitis, Hemen Goswami, "Wavelet-based image compression using randomized quantization", Proc. SPIE 4041, Visual Information Processing IX, (29 June 2000); doi: 10.1117/12.390486; https://doi.org/10.1117/12.390486
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KEYWORDS
Quantization

Image compression

Interference (communication)

Wavelet transforms

Error analysis

Fourier transforms

Signal processing

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