Lossy volume compression using Tucker truncation and thresholding

Lossy Image Compression Using Discrete Wavelet Transform and Thresholding Techniques

Results of lossy image compression using wavelet transforms and several thresholding techniques are presented here. The analyzed image was divided into little sub-images and each one was decomposed in a vector following a Hilbert fractal curve. The wavelet transform was applied to each vector and some of the high frequency components were suppressed based on some threshold criteria. Different l...

Denoising by Lossy Compression and Curvelet Thresholding

Image Denoising via Lossy Compression and Wavelet Thresholding

S. Grace Chang1 Bin Yu2 Martin Vetterli1;3 1Department of Electrical Engineering and Computer Sciences University of California, Berkeley, CA 94720, USA 2Department of Statistics University of California, Berkeley, CA 94720, USA 3D epartement d'Electricit e Ecole Polytechnique F ed erale de Lausanne, CH-1015 Lausanne, Switzerland [email protected], [email protected], [email protected]...

Lossy Data Compression Using Logarithm

Lossy compression algorithms take advantage of the inherent limitations of the human eye and discard information that cannot be seen. [1] In the present paper a technique termed as Lossy Data Compression using Logarithm (LDCL) is proposed to compress incoming binary data in the form of a resultant matrix containing the logarithmic values of different chosen numeric sets. The proposed method is ...

Compression and truncation revisited

This paper investigates the influence of varying segmental structures on the realizations of utterance-final rising and falling intonation contours. Following Grabe’s study on adjustment strategies in German, i.e. truncation and compression, a similar experiment was carried out, using materials with decreasing stretches of voicing in questions, lists, and statements. However, the results presen...