On wavelet-based multiresolution image compression

Author

Gandhi, Prashant P.

Author_Institution

Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA

fYear

1994

fDate

1-5 May 1994

Firstpage

235

Abstract

In this paper, we study the characteristics of a wavelet-based multiresolution image compression technique. Daubechies length-M shift-orthogonal coefficient sequences, which generate continuous-time wavelet and scaling function, are used for an L-stage multiresolution image decomposition. Lossy reconstruction of the image is carried out using limited high magnitude samples, and peak signal-to-noise ratio is computed for several M and L values. A comparison between the multiresolution technique and the block discrete cosine transform technique is also presented

Keywords

data compression; discrete cosine transforms; image coding; image reconstruction; image resolution; sequences; wavelet transforms; block discrete cosine transform; continuous-time wavelet; high magnitude samples; lossy image reconstruction; multiresolution image compression; multiresolution image decomposition; peak signal-to-noise ratio; scaling function; shift-orthogonal coefficient sequences; signal analysis; Discrete cosine transforms; Energy resolution; Finite impulse response filter; Image coding; Image reconstruction; Image resolution; PSNR; Signal analysis; Signal resolution; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 1994. ICC '94, SUPERCOMM/ICC '94, Conference Record, 'Serving Humanity Through Communications.' IEEE International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-1825-0

Type

conf

DOI

10.1109/ICC.1994.369053

Filename

369053