Adaptive thresholding for noisy MPEG-4 still texture image

T. C L Chan; Pak Kong Lun

Adaptive thresholding for noisy MPEG-4 still texture image

T. C L Chan, Pak Kong Lun

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

In this paper, we show that when using the MPEG-4 still image codec to compress a noisy image, increasing the compression ratio does not necessarily imply reducing the peak-signal-to-noise ratio (PSNR) of the decoded image. An optimal operating point is noted where the peak PSNR can be obtained within the low bit rate region. Yet, the visual quality of the decoded noisy images in this region is greatly degraded by the so-called "cross" shape artefact. To deal with this problem, we analyze the cause of the optimal operating point and the "cross" shape artefact when using the MPEG-4 still image codec for coding noisy images. We then propose an adaptive thresholding technique to remove the "cross" shape artefact. An analytical study is performed for the selection and validation of the threshold value used. It is shown that, by using the proposed technique, the visual quality and PSNR of the decoded images are much improved comparing with the traditional MPEG-4 still image codec in coding noisy images.

Original language	English
Title of host publication	IEEE International Conference on Image Processing
Publication status	Published - 1 Dec 2000
Event	International Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada Duration: 10 Sept 2000 → 13 Sept 2000

Conference

Conference	International Conference on Image Processing (ICIP 2000)
Country/Territory	Canada
City	Vancouver, BC
Period	10/09/00 → 13/09/00

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Hardware and Architecture
Electrical and Electronic Engineering

Cite this

@inproceedings{ef2fd050883b41f7a7320f2dde8f8c9b,

title = "Adaptive thresholding for noisy MPEG-4 still texture image",

abstract = "In this paper, we show that when using the MPEG-4 still image codec to compress a noisy image, increasing the compression ratio does not necessarily imply reducing the peak-signal-to-noise ratio (PSNR) of the decoded image. An optimal operating point is noted where the peak PSNR can be obtained within the low bit rate region. Yet, the visual quality of the decoded noisy images in this region is greatly degraded by the so-called {"}cross{"} shape artefact. To deal with this problem, we analyze the cause of the optimal operating point and the {"}cross{"} shape artefact when using the MPEG-4 still image codec for coding noisy images. We then propose an adaptive thresholding technique to remove the {"}cross{"} shape artefact. An analytical study is performed for the selection and validation of the threshold value used. It is shown that, by using the proposed technique, the visual quality and PSNR of the decoded images are much improved comparing with the traditional MPEG-4 still image codec in coding noisy images.",

author = "Chan, {T. C L} and Lun, {Pak Kong}",

year = "2000",

month = dec,

day = "1",

language = "English",

booktitle = "IEEE International Conference on Image Processing",

note = "International Conference on Image Processing (ICIP 2000) ; Conference date: 10-09-2000 Through 13-09-2000",

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TY - GEN

T1 - Adaptive thresholding for noisy MPEG-4 still texture image

AU - Chan, T. C L

AU - Lun, Pak Kong

PY - 2000/12/1

Y1 - 2000/12/1

N2 - In this paper, we show that when using the MPEG-4 still image codec to compress a noisy image, increasing the compression ratio does not necessarily imply reducing the peak-signal-to-noise ratio (PSNR) of the decoded image. An optimal operating point is noted where the peak PSNR can be obtained within the low bit rate region. Yet, the visual quality of the decoded noisy images in this region is greatly degraded by the so-called "cross" shape artefact. To deal with this problem, we analyze the cause of the optimal operating point and the "cross" shape artefact when using the MPEG-4 still image codec for coding noisy images. We then propose an adaptive thresholding technique to remove the "cross" shape artefact. An analytical study is performed for the selection and validation of the threshold value used. It is shown that, by using the proposed technique, the visual quality and PSNR of the decoded images are much improved comparing with the traditional MPEG-4 still image codec in coding noisy images.

AB - In this paper, we show that when using the MPEG-4 still image codec to compress a noisy image, increasing the compression ratio does not necessarily imply reducing the peak-signal-to-noise ratio (PSNR) of the decoded image. An optimal operating point is noted where the peak PSNR can be obtained within the low bit rate region. Yet, the visual quality of the decoded noisy images in this region is greatly degraded by the so-called "cross" shape artefact. To deal with this problem, we analyze the cause of the optimal operating point and the "cross" shape artefact when using the MPEG-4 still image codec for coding noisy images. We then propose an adaptive thresholding technique to remove the "cross" shape artefact. An analytical study is performed for the selection and validation of the threshold value used. It is shown that, by using the proposed technique, the visual quality and PSNR of the decoded images are much improved comparing with the traditional MPEG-4 still image codec in coding noisy images.

UR - http://www.scopus.com/inward/record.url?scp=0034440694&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

BT - IEEE International Conference on Image Processing

T2 - International Conference on Image Processing (ICIP 2000)

Y2 - 10 September 2000 through 13 September 2000

ER -

Adaptive thresholding for noisy MPEG-4 still texture image

Abstract

Conference

ASJC Scopus subject areas

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