<title>Evaluation of color-embedded wavelet image compression techniques</title>

Abstract

Color embedded image compression is investigated by means of a set of core experiments that seek to evaluate the advantages of various color transformations, spatial orientation trees and the use of monochrome embedded coding schemes such as EZW and SPIHT. In order to take advantage of the interdependencies of the color components for a given color space, two new spatial orientation trees that relate frequency bands and color components are investigated.

Rate scalable image and video compression techniques

“…The luminance component is scanned first in a dominant pass. The two chrominance components are alternately scanned after the luminance component, in a subordinate pass, which is essentially the same as that in Shapiro's [1] algorithm [7], [8], [10], [11]. This still image compression technique is known as the Color Embedded Zerotree Wavelet (CEZW).…”

“…In [11] we show that the use of SOTs that exploit color interdependencies is more efficient than coding each color component independently. In addition, using the YUV color space resulted in images that visually appeared to be better than those that were transformed using the KL transform [11].…”

“…In [7], [8], [10] the color space used was the 4:1:1 YUV color space the algorithm has since been extended for 4:4:4 YUV images in [11]. This algorithm shall be referred to as Color Zerotree Wavelet (CZW).…”

“…Furthermore, the coding technique was modified such that the SOT used was that proposed by Said and Pearlman [2], whereas the coding strategy was that described in [7], [8]. This compression scheme is referred to as SP-CZW in [11].…”

“…We shall refer to the image compression algorithm as Color Embedded Zerotree Wavelet (CEZW), and to the video compression technique as the Scalable Adaptive Motion COmpensated Wavelet (SAMCoW) algorithm [5]- [11].…”