Reduction of coding artifacts in transform image coding by using local statistics of transform coefficients

Steven S O Choy; Yuk Hee Chan

Reduction of coding artifacts in transform image coding by using local statistics of transform coefficients

Steven S O Choy, Yuk Hee Chan

The Hong Kong Polytechnic University

Research output: Journal article publication › Conference article › Academic research › peer-review

1 Citation (Scopus)

Abstract

This paper proposes a new approach to reduce coding artifacts in transform image coding. We approach the problem in an estimation of each transform coefficient from the quantized data by using its local mean and variance. The proposed method can reduce much coding artifacts of low bit-rate coded images, and at the same time guarantee that the resulting images satisfies the quantization error constraint.

Original language	English
Pages (from-to)	1089-1092
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	2
Publication status	Published - 1 Jan 1997
Event	Proceedings of the 1997 IEEE International Symposium on Circuits and Systems, ISCAS'97. Part 4 (of 4) - Hong Kong, Hong Kong Duration: 9 Jun 1997 → 12 Jun 1997

ASJC Scopus subject areas

Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

More information

http://hdl.handle.net/10397/1505

Cite this

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title = "Reduction of coding artifacts in transform image coding by using local statistics of transform coefficients",

abstract = "This paper proposes a new approach to reduce coding artifacts in transform image coding. We approach the problem in an estimation of each transform coefficient from the quantized data by using its local mean and variance. The proposed method can reduce much coding artifacts of low bit-rate coded images, and at the same time guarantee that the resulting images satisfies the quantization error constraint.",

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year = "1997",

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AU - Chan, Yuk Hee

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N2 - This paper proposes a new approach to reduce coding artifacts in transform image coding. We approach the problem in an estimation of each transform coefficient from the quantized data by using its local mean and variance. The proposed method can reduce much coding artifacts of low bit-rate coded images, and at the same time guarantee that the resulting images satisfies the quantization error constraint.

AB - This paper proposes a new approach to reduce coding artifacts in transform image coding. We approach the problem in an estimation of each transform coefficient from the quantized data by using its local mean and variance. The proposed method can reduce much coding artifacts of low bit-rate coded images, and at the same time guarantee that the resulting images satisfies the quantization error constraint.

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M3 - Conference article

SN - 0271-4310

VL - 2

SP - 1089

EP - 1092

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - Proceedings of the 1997 IEEE International Symposium on Circuits and Systems, ISCAS'97. Part 4 (of 4)

Y2 - 9 June 1997 through 12 June 1997

ER -

Reduction of coding artifacts in transform image coding by using local statistics of transform coefficients

Abstract

ASJC Scopus subject areas

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