Observer Dependent Wavelet Image Compressor
نویسنده
چکیده
♣ This work was supported by AGH Technical University grant no. 10.10.120.39 ABSTRACT The image compression by means of wavelet technique is considered in this paper. The proposed solution takes advantages of the current observer eye position rather than the image content. The noninvasive eye-pursuit system determines the zone of observer’s interest and sends the information back to the image capturing system, which maximises the image resolution inside the zone of interest, while the remaining part of the image is sent at lower resolution. This method, however limited to the real-time observations, makes possible an up to 12-times compression of a single image without any loss of quality (e. g. colour definition) inside the observer specified area.
منابع مشابه
Contribution of CIWaM in JPEG2000 Quantization for Color Images
The aim of this work is to explain how to apply perceptual concepts to define a perceptual pre-quantizer and to improve JPEG2000 compressor. The approach consists in quantizing wavelet transform coefficients using some of the human visual system behavior properties. Noise is fatal to image compression performance, because it can be both annoying for the observer and consumes excessive bandwidth...
متن کاملCombined Image Compressor and Denoiser based on Tree-adapted Wavelet Shrinkage
An algorithm is described for simultaneously compressing and denoising images. The algorithm is called tree-adapted wavelet shrinkage and compression (TAWS-Comp). TAWS-Comp is a synthesis of an image compression algorithm, adaptively scanned wavelet difference reduction (ASWDR), and a denoising algorithm, tree-adapted wavelet shrinkage (TAWS). As a compression procedure, TAWS-Comp inherits all ...
متن کاملA landscape–conditioned lossless wavelet–based predictive multispectral image compressor
We present a nonlinear lossless compressor designed for multispectral images consisting of few bands, and having greater spatial than spectral correlation. Our compressor is based on an 2D integer wavelet transform that reduces spatial correlation. Different models for statistical dependencies of wavelet detail coefficients are analyzed and tested to perform linear inter/intraband predictions. ...
متن کاملLocal PerceptualWeighting in JPEG2000 for Color Images
The aim of this work is to explain how to apply perceptual concepts to define a perceptual pre-quantizer and to improve JPEG2000 compressor. The approach consists in quantizing wavelet transform coefficients using some of the human visual system behavior properties. Noise is fatal to image compression performance, because it can be both annoying for the observer and consumes excessive bandwidth...
متن کاملICER-3D: A Progressive Wavelet-Based Compressor for Hyperspectral Images
ICER-3D is a progressive, wavelet-based compressor for hyperspectral images. ICER-3D is derived from the ICER image compressor. ICER-3D can provide lossless and lossy compression, and incorporates an error-containment scheme to limit the effects of data loss during transmission. The three-dimensional wavelet decomposition structure used by ICER-3D exploits correlations in all three dimensions o...
متن کامل