A new approach for near-lossless and lossless image compression with Bayer color filter arrays

Author

Xie, Xiang ; Li, GuoLin ; Li, XiaoWen ; Wang, ZhiHua ; Zhang, Chun ; Li, DongMei ; Zhang, Li

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

fYear

2004

fDate

18-20 Dec. 2004

Firstpage

357

Lastpage

360

Abstract

This paper presents a new approach for near-lossless and lossless image compression in digital colorful image sensors with Bayer color filter arrays (CFAs). In this approach, the captured CFA raw data is firstly transformed from quincunx shape to rectangular shape and then smoothed by a low-pass filter. Lastly, the filtered data are compressed directly before full color than conventional interpolation-first image compression methods and other existing similar compression-first methods. Furthermore, through altering the quality control factor, the image quality, PSNR, can be changed from 44.15 dB to infinite with the compression ratio from averagely 3.3 bits/pixel to 6.9 bits/pixel.

Keywords

computational complexity; data compression; image coding; image colour analysis; image sensors; interpolation; low-pass filters; optical filters; smoothing methods; Bayer color filter arrays; PSNR; digital colorful image sensor; full color interpolation; interpolation-first image compression method; lossless image compression; low-pass filter; quality control factor; signal-to-noise ratio; Digital filters; Image coding; Image quality; Image sensors; Low pass filters; PSNR; Pixel; Quality control; Sensor arrays; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Graphics (ICIG'04), Third International Conference on

Conference_Location

Hong Kong, China

Print_ISBN

0-7695-2244-0

Type

conf

DOI

10.1109/ICIG.2004.12

Filename

1410458