Scalable compression for image browsing

A. Jain; S. Panchanathan

doi:10.1109/30.320820

Scalable compression for image browsing

A. Jain, S. Panchanathan

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

In this paper, we present scalable compression algorithms for image browsing. Recently, the International Standards Organization (ISO) has proposed the JPEG standard for still image compression. JPEG standard not only provides the basic feature of compression (baseline algorithm) but also provides the framework for reconstructing images in different picture qualities and sizes. These features are referred to as SNR and spatial scalability, respectively. SNR scalability and spatial scalability can be implemented using the progressive and hierarchical modes in the JPEG standard. In this paper, we implement and investigate the performance of the progressive and hierarchical coding modes of the JPEG standard and compare their performance with the baseline algorithm.

Original language	English (US)
Pages (from-to)	394-404
Number of pages	11
Journal	IEEE Transactions on Consumer Electronics
Volume	40
Issue number	3
DOIs	https://doi.org/10.1109/30.320820
State	Published - Aug 1994
Externally published	Yes

ASJC Scopus subject areas

Media Technology
Electrical and Electronic Engineering

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10.1109/30.320820

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title = "Scalable compression for image browsing",

abstract = "In this paper, we present scalable compression algorithms for image browsing. Recently, the International Standards Organization (ISO) has proposed the JPEG standard for still image compression. JPEG standard not only provides the basic feature of compression (baseline algorithm) but also provides the framework for reconstructing images in different picture qualities and sizes. These features are referred to as SNR and spatial scalability, respectively. SNR scalability and spatial scalability can be implemented using the progressive and hierarchical modes in the JPEG standard. In this paper, we implement and investigate the performance of the progressive and hierarchical coding modes of the JPEG standard and compare their performance with the baseline algorithm.",

author = "A. Jain and S. Panchanathan",

note = "Funding Information: This work has been partially supported by the Natural Sciences and Engineering Research Council of Canada (NSERC).",

year = "1994",

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AU - Panchanathan, S.

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Y1 - 1994/8

N2 - In this paper, we present scalable compression algorithms for image browsing. Recently, the International Standards Organization (ISO) has proposed the JPEG standard for still image compression. JPEG standard not only provides the basic feature of compression (baseline algorithm) but also provides the framework for reconstructing images in different picture qualities and sizes. These features are referred to as SNR and spatial scalability, respectively. SNR scalability and spatial scalability can be implemented using the progressive and hierarchical modes in the JPEG standard. In this paper, we implement and investigate the performance of the progressive and hierarchical coding modes of the JPEG standard and compare their performance with the baseline algorithm.

AB - In this paper, we present scalable compression algorithms for image browsing. Recently, the International Standards Organization (ISO) has proposed the JPEG standard for still image compression. JPEG standard not only provides the basic feature of compression (baseline algorithm) but also provides the framework for reconstructing images in different picture qualities and sizes. These features are referred to as SNR and spatial scalability, respectively. SNR scalability and spatial scalability can be implemented using the progressive and hierarchical modes in the JPEG standard. In this paper, we implement and investigate the performance of the progressive and hierarchical coding modes of the JPEG standard and compare their performance with the baseline algorithm.

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SN - 0098-3063

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Scalable compression for image browsing

Abstract

ASJC Scopus subject areas

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