| Zhang Y., Po L.: Fractal color image compression using vector distortion measure, Proc. Int. Conf. Image Processing, vol. III, IEEE 1995, pp. 276-279. |
....of R, G and B. The decorrelation is also weaker than using the RGB YCC transformation. All image compression standards and recommendations define independent coding of the color image components although some proposals exploit inter component dependencies for color and multispectral images [7 9]. Probably, some improvement in chrominance coding can be obtained on this way but prospective improvement of total coding efficiency must be small as both chrominance components constitute about 20 40 of the total bitsream. 58 3. IMAGE COMPRESSION STANDARDS With the advances in image and video ....
Zhang Y., Po L.: Fractal color image compression using vector distortion measure, Proc. Int. Conf. Image Processing, vol. III, IEEE 1995, pp. 276-279.
....conditions, are presented where appropriate, and the review is concluded with a wavelet based analysis of fractal compression, and a comparison of the performance of the most e ective fractal coding based compression algorithms in the literature. While fractal coding of colour images [9] [10] and video [11] 12] 13] have been investigated, space limitations necessitate the restriction of the scope of this review to the coding of greyscale images (all of which may be assumed to have 8 bits pixel) Since publications responsible for introducing new concepts are usually cited in derived ....
Y. Zhang and L.-M. Po, \Fractal color image compression using vector distortion measure," in Proceedings ICIP-95 (IEEE International Conference on Image Processing), Washington, D.C., USA, Oct. 1995, vol. III, pp. 284-287.
....have developed a BSP program implementing the standard fractal image compression algorithm, keeping it versatile enough to cater for several encoding methodologies, including the three schemes described in Section 3. The program was adapted for encoding colour images, in the fashion described in [13, 14], but that did not affect the general algorithm design or cause different behaviour in a distributed environment. As mentioned earlier, our primary concern was parallelisation of the fractal encoding process. Therefore, neither the implementation presented in this chapter, nor the discussion that ....
Y. Zhang, L. M. Po, "Fractal color image compression using vector distortion measure", Proc. ICIP-95 IEEE International Conference on Image Processing, Washington, D.C., (1995)
....algorithms based on human visual behavior [10] have been explored which have the potential for much higher compression ratios. A large number of methods have appeared in the literature including bitstream coding [15] vector quantization [4] wavelet transform [3, 10] and fractal coding [17]. In the document domain, the measure of a good compression algorithm may have a number of parameters beyond the traditional space reduction. For example, we find that digital libraries which contain document images benefit The support of this research by the Advanced Research Projects Agency ....
Y. Zhang and L. Po. Fractal color image compression using vector distortion measure. In International Conference on Image Processing, volume III, pages 276-- 279, 1995.
No context found.
Y. Zhang and L.-M. Pu, "Fractal color image compression using vector distortion measure," in Proc. IEEE International Conf. on Image Processing 1995, Vol. 3, pp. 276--279, Washington ~1995!.
No context found.
Y. Zhang and L. Po. Fractal color image compression using vector distortion measure. In International Conference on Image Processing, volume III, pages 276--279, 1995. SPIE-Multimedia Storage and Archiving
No context found.
Zhang, Y., Po, L. M., Fractal color image compression using vector distortion measure, in: Proc. ICIP-95 IEEE International Conference on Image Processing, Washington, D.C., 1995.
No context found.
Zhang, Y., Po, L. M., Fractal color image compression using vector distortion measure, in: Proc. ICIP-95 IEEE International Conference on Image Processing, Washington, D.C., 1995.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC