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

S Madenda,A Darmayantie

doi:10.18287/2412-6179-co-780

Abstract

This paper describes the use of some color spaces in JPEG image compression algorithm and their impact in terms of image quality and compression ratio, and then proposes adaptive color space models (ACSM) to improve the performance of lossy image compression algorithm. The proposed ACSM consists of, dominant color analysis algorithm and YCoCg color space family. The YCoCg color space family is composed of three color spaces, which are YCcCr, YCpCg and YCyCb. The dominant colors analysis algorithm is developed which enables to automatically select one of the three color space models based on the suitability of the dominant colors contained in an image. The experimental results using sixty test images, which have varying colors, shapes and textures, show that the proposed adaptive color space model provides improved performance of 3 % to 10 % better than YCbCr, YDbDr, YCoCg and YCgCo-R color spaces family. In addition, the YCoCg color space family is a discrete transformation so its digital electronic implementation requires only two adders and two subtractors, both for forward and inverse conversions.

Highlights

Raw images and video frames recorded by highresolution cameras in information and communication technology (ICT) devices are in the form of three basic color components R, G and B
The proposed dominant color analysis and adaptive color space model (ACSM) algorithms have been integrated into the JPEG lossy image compression algorithm
There are eleven of the twelve images with the highest Compression Ratio (CR) value offered by the ACSM-YCoCg color space family, while the ACSM-YCgCo-R family only produces one image with the highest CR value

Summary

Introduction

Raw images and video frames recorded by highresolution cameras in information and communication technology (ICT) devices are in the form of three basic color components R (red), G (green) and B (blue). These color components are called RGB color spaces. JPEG and JPEG2000 are two compression algorithms that are widely used in ICT devices These two algorithms have the same process flow, as shown in fig. 1a consists of the following processes: color space conversion, spatial to frequency transform, quantization and coding. 1b) consists of: decoding, inverse quantization, frequency to spatial transform and inverse color space conversion The decompression algorithm (fig. 1b) consists of: decoding, inverse quantization, frequency to spatial transform and inverse color space conversion

Methods

Results

Conclusion