Edge sensitive subband coding of images

Kalman Cinkler; Alfred Mertins

Edge sensitive subband coding of images

Institute of Signal Processing

University of Bremen

Abstract

In this paper, we introduce a family of novel edge preserving image coding techniques based on the discrete wavelet transform (DWT). These techniques utilize the edge map (which not necessarily contains closed curves) of the processed image or its subbands in the way that no filtering over edges is performed. This results in a reduction of power in the higher frequency bands. The achievable savings are higher than the additional bit rate needed for transmission of the edge map.

Original language	English
Pages	2363-2366
Number of pages	4
Publication status	Published - 01.01.1996
Event	Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing - Atlanta, United States Duration: 07.05.1996 → 10.05.1996 Conference number: 45447

Conference

Conference	Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated title	ICASSP 1996
Country/Territory	United States
City	Atlanta
Period	07.05.96 → 10.05.96

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Edge sensitive subband coding of images",

abstract = "In this paper, we introduce a family of novel edge preserving image coding techniques based on the discrete wavelet transform (DWT). These techniques utilize the edge map (which not necessarily contains closed curves) of the processed image or its subbands in the way that no filtering over edges is performed. This results in a reduction of power in the higher frequency bands. The achievable savings are higher than the additional bit rate needed for transmission of the edge map.",

author = "Kalman Cinkler and Alfred Mertins",

year = "1996",

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day = "1",

language = "English",

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AU - Cinkler, Kalman

AU - Mertins, Alfred

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N2 - In this paper, we introduce a family of novel edge preserving image coding techniques based on the discrete wavelet transform (DWT). These techniques utilize the edge map (which not necessarily contains closed curves) of the processed image or its subbands in the way that no filtering over edges is performed. This results in a reduction of power in the higher frequency bands. The achievable savings are higher than the additional bit rate needed for transmission of the edge map.

AB - In this paper, we introduce a family of novel edge preserving image coding techniques based on the discrete wavelet transform (DWT). These techniques utilize the edge map (which not necessarily contains closed curves) of the processed image or its subbands in the way that no filtering over edges is performed. This results in a reduction of power in the higher frequency bands. The achievable savings are higher than the additional bit rate needed for transmission of the edge map.

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M3 - Conference Papers

SP - 2363

EP - 2366

T2 - Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 7 May 1996 through 10 May 1996

ER -

Edge sensitive subband coding of images

Abstract

Conference

UN SDGs

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