Title :
On wavelet-based multiresolution image compression
Author :
Gandhi, Prashant P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA
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;
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
DOI :
10.1109/ICC.1994.369053
