Simple Bitplane Coding and Its Application to Multi-Functional Image Compression

Hisakazu KIKUCHI; Ryosuke ABE; Shogo MURAMATSU

doi:10.1587/transfun.E95.A.938

Simple Bitplane Coding and Its Application to Multi-Functional Image Compression

Hisakazu KIKUCHI, Ryosuke ABE, Shogo MURAMATSU

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A simple image compression scheme is presented for various types of images, which include color/grayscale images, color-quantized images, and bilevel images such as document and digital halftone images. It is a bitplane coding composed of a new context modeling and adaptive binary arithmetic coding. A target bit to be encoded is conditioned by the estimates of the neighboring pixels including non-causal locations. Several functionalities are also integrated. They are arbitrary shaped ROI transmission, selective tile partitioning, accuracy scalability, and others. The proposed bitplane codec is competitive with JPEG-LS in lossless compression of 8-bit grayscale and 24-bit color images. The proposed codec is close to JBIG2 in bilevel image compression. It outperforms the existing standards in compression of 8-bit color-quantized images.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.5 pp.938-951

Publication Date: 2012/05/01

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Online ISSN: 1745-1337

DOI: 10.1587/transfun.E95.A.938

Type of Manuscript: PAPER

Category: Image

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Hisakazu KIKUCHI, Ryosuke ABE, Shogo MURAMATSU, "Simple Bitplane Coding and Its Application to Multi-Functional Image Compression" in IEICE TRANSACTIONS on Fundamentals, vol. E95-A, no. 5, pp. 938-951, May 2012, doi: 10.1587/transfun.E95.A.938.
Abstract: A simple image compression scheme is presented for various types of images, which include color/grayscale images, color-quantized images, and bilevel images such as document and digital halftone images. It is a bitplane coding composed of a new context modeling and adaptive binary arithmetic coding. A target bit to be encoded is conditioned by the estimates of the neighboring pixels including non-causal locations. Several functionalities are also integrated. They are arbitrary shaped ROI transmission, selective tile partitioning, accuracy scalability, and others. The proposed bitplane codec is competitive with JPEG-LS in lossless compression of 8-bit grayscale and 24-bit color images. The proposed codec is close to JBIG2 in bilevel image compression. It outperforms the existing standards in compression of 8-bit color-quantized images.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.938/_p

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@ARTICLE{e95-a_5_938,
author={Hisakazu KIKUCHI, Ryosuke ABE, Shogo MURAMATSU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Simple Bitplane Coding and Its Application to Multi-Functional Image Compression},
year={2012},
volume={E95-A},
number={5},
pages={938-951},
abstract={A simple image compression scheme is presented for various types of images, which include color/grayscale images, color-quantized images, and bilevel images such as document and digital halftone images. It is a bitplane coding composed of a new context modeling and adaptive binary arithmetic coding. A target bit to be encoded is conditioned by the estimates of the neighboring pixels including non-causal locations. Several functionalities are also integrated. They are arbitrary shaped ROI transmission, selective tile partitioning, accuracy scalability, and others. The proposed bitplane codec is competitive with JPEG-LS in lossless compression of 8-bit grayscale and 24-bit color images. The proposed codec is close to JBIG2 in bilevel image compression. It outperforms the existing standards in compression of 8-bit color-quantized images.},
keywords={},
doi={10.1587/transfun.E95.A.938},
ISSN={1745-1337},
month={May},}

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TY - JOUR
TI - Simple Bitplane Coding and Its Application to Multi-Functional Image Compression
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 938
EP - 951
AU - Hisakazu KIKUCHI
AU - Ryosuke ABE
AU - Shogo MURAMATSU
PY - 2012
DO - 10.1587/transfun.E95.A.938
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2012
AB - A simple image compression scheme is presented for various types of images, which include color/grayscale images, color-quantized images, and bilevel images such as document and digital halftone images. It is a bitplane coding composed of a new context modeling and adaptive binary arithmetic coding. A target bit to be encoded is conditioned by the estimates of the neighboring pixels including non-causal locations. Several functionalities are also integrated. They are arbitrary shaped ROI transmission, selective tile partitioning, accuracy scalability, and others. The proposed bitplane codec is competitive with JPEG-LS in lossless compression of 8-bit grayscale and 24-bit color images. The proposed codec is close to JBIG2 in bilevel image compression. It outperforms the existing standards in compression of 8-bit color-quantized images.
ER -