Title :
Efficient Color Image Compression Using Demosaicing
Author :
Gershikov, Evgeny ; Porat, Moshe
Author_Institution :
Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
Abstract :
In this work we introduce a new algorithm for color image compression based on inter-color correlations of the RGB (red, green and blue) primary colors of images and video. We employ the Bayer pattern, widely used in digital cameras and mobile phones, for its compression software. Our proposed method outperforms JPEG2000 for all the images tested, with a gain of more than 1dB in peak signal-to-noise ratio (PSNR) on average. Our conclusion is that the new algorithm could be useful in efficient visual communication.
Keywords :
image coding; image colour analysis; image segmentation; JPEG2000; color image compression; compression software; demosaicing; digital camera; inter color correlation; peak signal to noise ratio; visual communication; Color; Discrete wavelet transforms; Image coding; Image color analysis; PSNR; Transform coding; Bayer pattern; color image compression; demosaicing; inter-color correlations;
Conference_Titel :
Computer Software and Applications Conference (COMPSAC), 2010 IEEE 34th Annual
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-7512-4
Electronic_ISBN :
0730-3157
DOI :
10.1109/COMPSAC.2010.28