Open AccessAccelerating Compression Time of the standard JPEG by Employing The Quantized YCbCr Color Space Algorithm
Author(s) -
Trini Saptariani,
Sarifuddin Madenda,
Ernastuti Ernastuti,
Widya Silfianti
Publication year - 2018
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v8i6.pp4343-4351
Subject(s) - chrominance , jpeg , quantization (signal processing) , computer science , algorithm , color space , ycbcr , computer vision , artificial intelligence , luminance , jpeg 2000 , lossless jpeg , discrete cosine transform , image compression , color image , data compression , image processing , image (mathematics)
In this paper, we propose a quantized YCbCr color space (QYCbCr) technique which is employed in standard JPEG. The objective of this work is to accelerate computational time of the standard JPEG image compression algorithm. This is a development of the standard JPEG which is named QYCBCr algorithm. It merges two processes i.e., YCbCr color space conversion and Q quantization in which in the standar JPEG they were performed separately. The merger forms a new single integrated process of color conversion which is employed prior to DCT process by subsequently eliminating the quantization process. The equation formula of QYCbCr color coversion is built based on the chrominance and luminance properties of the human visual system which derived from quatization matrices. Experiment results performed on images of different sizes show that the computational running time of QYCbCr algorithm gives 4 up to 8 times faster than JPEG standard, and also provides higher compression ratio and better image quality.