In this paper we propose a DWT-based perceptually lossless image compression algorithm and architecture. Many image-capturing devices acquire images in subsampled R-G-B format and have real-time constraints which prohibit conversion to other formats, generally preferred for image compression, such as Y-Cb-Cr. Therefore, we propose a compression algorithm which works performed directly on the subsampled R-G-B data. The scheme exploits the correlation between the color planes and the perceptual sensitivity of the human visual system in order to improve the compression ratio. Moreover it can be easily mapped into an integrated fast architecture yielding very high throughput.

A DWT-Based Perceptually Lossless Color Image Compression Architecture / Marino, Francescomaria; Acharya, T; Karam, Lj. - (1998), pp. 149-153. (Intervento presentato al convegno 32nd Asilomar Conference on Signal Systems and Computers tenutosi a Pacific Grove, CA nel November 1-4, 1998) [10.1109/ACSSC.1998.750844].

A DWT-Based Perceptually Lossless Color Image Compression Architecture

MARINO, Francescomaria;
1998-01-01

Abstract

In this paper we propose a DWT-based perceptually lossless image compression algorithm and architecture. Many image-capturing devices acquire images in subsampled R-G-B format and have real-time constraints which prohibit conversion to other formats, generally preferred for image compression, such as Y-Cb-Cr. Therefore, we propose a compression algorithm which works performed directly on the subsampled R-G-B data. The scheme exploits the correlation between the color planes and the perceptual sensitivity of the human visual system in order to improve the compression ratio. Moreover it can be easily mapped into an integrated fast architecture yielding very high throughput.
1998
32nd Asilomar Conference on Signal Systems and Computers
0-7803-5148-7
A DWT-Based Perceptually Lossless Color Image Compression Architecture / Marino, Francescomaria; Acharya, T; Karam, Lj. - (1998), pp. 149-153. (Intervento presentato al convegno 32nd Asilomar Conference on Signal Systems and Computers tenutosi a Pacific Grove, CA nel November 1-4, 1998) [10.1109/ACSSC.1998.750844].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/20022
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