<bold>New Efficient Image Compression Method For Single Sensor Digital Camera Images</bold>

被引：0

作者：

Nallaperumal, Krishnan ^{[1
]}

Christopher, Seldev ^{[2
]}

Vinsley, S. S. ^{[3
]}

Selvakumar, R. K. ^{[4
]}

机构：

[1] MS Univ, Tirunelveli, India

[2] CSI Inst Technol, Thovalai, India

[3] Narayanaguru Coll Engg, Manjalamoodu, India

[4] KCE & Technol, Virudunagar, India

来源：

ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL III, PROCEEDINGS | 2007年

关键词：

5/3 wavelet transform; context quantization; entropy coding; image compression;

D O I：

10.1109/ICCIMA.2007.387

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Widely used digital cameras nowadays rise single sensor color filter array (CFA) which captures only one component of a pixel among the three components Red, Green and Blue (RGB). This interleaved RGB valued images are called mosaic images. The mosaic images are of one third of the RGB image's size. The mosaic image can be compressed further to reduce storage. In this paper we propose a new efficient method of lossless compression for color mosaic images. First the mosaic image is transformed by 5/3 forward wavelet transforms, which is best suited for color mosaic data. We also proposed a low complexity Adaptive Context-based Modified Golomb-Rice coding technique to compress the coefficients of the Transform.The lossless compression performance of the proposed method on color mosaic images is arguably the best so far among the existing lossless image codecs.

引用

页码：113 / +

页数：2

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