Title :
Performance comparision of color image compression based on enhanced Vector quantizer designed using different color spaces
Author :
Dandawate, Y.H. ; Joshi, M.A. ; Umrani, S.M.
Author_Institution :
Dept. of Electron. & Telecommun., Vishwakarma Inst. of Inf. Technol., Pune
Abstract :
This paper presents compression of color images using vector quantization (VQ). Being vector quantization is lossy compression technique, the quality of the decompressed images is degraded. In order to achieve trade off between quality of compression along with good compression ratio, the vector quantizer must be designed optimally. In this paper, we have designed an enhanced vector quantizer (codebook) by selective training of self-organized feature maps network with different images for quality improvement. The performance is analyzed using various quality measures along with conventionally used PSNR. The vector quantizer is designed for different color spaces such as RGB, HSI, HSV, YCbCr and performance is tested for quality determination. Finally, performance is compared with JPEG in terms of quality and file sizes.
Keywords :
image coding; image colour analysis; self-organising feature maps; vector quantisation; color image compression; decompressed image quality; lossy compression technique; self-organized feature maps network; vector quantization; Color; Degradation; Humans; Image coding; Image reconstruction; Information technology; Intelligent systems; Self organizing feature maps; Testing; Vector quantization; Codebook; Quality Measures; Self Organizing Feature Maps; Vector quantization;
Conference_Titel :
Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-1355-3
Electronic_ISBN :
978-1-4244-1356-0
DOI :
10.1109/ICIAS.2007.4658463
