Title :
Color image compression
Author_Institution :
Nat. Telecommun. Inst., Cairo, Egypt
Abstract :
This paper presents a new method for color image compression and enhancement. The color image is decomposed into its three components. Each component is decomposed using any type of wavelet. The high frequency components are mapped using the color space YUV,YIQ or CIEXYZ. The mapped components with the low frequency component constitute the red, green and blue components. The compressed image is reconstructed from the three colors. Color space CIEXYZ proved to have the highest performance for SNR and compression ratio while the three color spaces proved different performance for bit rate depending on the details of the color image.
Keywords :
data compression; image coding; image colour analysis; image enhancement; wavelet transforms; SNR; bit rate; color image compression; color image enhancement; color space CIEXYZ; color space YIQ; color space YUV; compression ratio; high frequency components; image compression reconstruction; low frequency component; red-green-blue components; wavelet; Discrete wavelet transforms; Image coding; Indexes; Signal to noise ratio; DWT; HIGH LOW; YUV;
Conference_Titel :
Computer Engineering Conference (ICENCO), 2011 Seventh International
Conference_Location :
Giza
Print_ISBN :
978-1-4673-0730-7
DOI :
10.1109/ICENCO.2011.6153936
