&lt;title&gt;Wavelet-based image compression using randomized quantization&lt;/title&gt;

Samuel P. Kozaitis; Hemen Goswami

doi:10.1117/12.390486

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<title>Wavelet-based image compression using randomized quantization</title>

Samuel P. Kozaitis Hemen Goswami

Year: 2000 Journal: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 4041 Pages: 46-50 Publisher: SPIE

DOI: 10.1117/12.390486

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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.

Keywords:

Dither Quantization (signal processing) Artificial intelligence Image compression Wavelet Wavelet transform Computer science Computer vision Mathematics Noise shaping Algorithm Image (mathematics) Image processing

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Topics

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Data Compression Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

<title>Wavelet-based image compression using randomized quantization</title>

Abstract

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