Accelerating Compression Time of the standard JPEG by Employing The Quantized YCbCr Color Space Algorithm

Abstract

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.

Adaptive color space model based on dominant colors for image and video compression performance improvement

“…In this case, the experiment was carried out by using one Photoshop's quantization matrix for medium quality (Q 9 ) as shown in Eq. (15) [3,22]. Q Lum and Q Cr are respectively quantization matrices for luminance and chrominance components, and q is a variable that determines the quantization value, so that the seven color spaces can produce the same quality for the same image, thus the compression ratio can be compared.…”

“…In general, these two algorithms have the same process flow, as shown in fig. 1 [1,2,3]. The Compression algorithm in fig.…”

“…Generally, the color space used is in accordance with the sensitivity of the human visual system to color changes, especially the color spaces that have luminance and chrominance components. The JPEG and JPEG2000 compression al-gorithms use color spaces YC b C r and YD b D r , which Y correspond to luminance, C b and D b are blue chrominance, and C r and D r are red chrominance components [3,4,5,6]. The Color conversion process from RGB to YC b C r can be calculated through a mathematical transformation as given in Eq.…”

“…The matrices [A] and [A -1 ] in Eqs. (3,4) respectively show the transformation matrix for RGB to YD b D r conversion and inverse transformation matrix for YD b D r to RGB conversion. This color space is reversible color transform (RCT) and its numerical implementation is simpler because it only requires shift-right (symbolized by "»"), addition and subtraction operations, and without multiplication operation.…”

Penetration Test for the 3G Internet Service Provider and Free Basics Service by Facebook

“…Facebook claims that its objective with Free Basics is to connect more individuals to the internet, with an end goal to control the computerized gap between people and web services [7] [8] [3]. Images are an attractive element of any web page, which leads to the desire to find a way to allow people to browse images on a text-only service as users demand images with good or high resolution [9]. 1.…”