Quantisation error reduction for reducing Q-factor JPEG recompression

C. M. Ng; Vincent To Yee Ng; P. L. Poon

Quantisation error reduction for reducing Q-factor JPEG recompression

C. M. Ng, Vincent To Yee Ng, P. L. Poon

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

1 Citation (Scopus)

Abstract

This paper studies the mechanism of recompression using the reduced Q-factor JPEG compression and highlights the areas which contribute to image distortion during recompression. A quantisation error reduction algorithm with the aim to preserve the originality of the image against recompression was presented. Statistical information from a typical image was collected which was then used as the threshold in the run time criteria of the algorithm. The algorithm works with the approach of adjusting the DCT coefficients to correct the quantisation errors. The algorithm was found work well for both images consisting of low frequency and high frequency components.

Original language	English
Title of host publication	Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS
Pages	1460-1465
Number of pages	6
Publication status	Published - 1 Dec 2001
Event	Joint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada Duration: 25 Jul 2001 → 28 Jul 2001

Conference

Conference	Joint 9th IFSA World Congress and 20th NAFIPS International Conference
Country/Territory	Canada
City	Vancouver, BC
Period	25/07/01 → 28/07/01

ASJC Scopus subject areas

General Computer Science
Media Technology

Cite this

@inproceedings{ecf6110c6f0d4da588eaeb4c44bb478a,

title = "Quantisation error reduction for reducing Q-factor JPEG recompression",

abstract = "This paper studies the mechanism of recompression using the reduced Q-factor JPEG compression and highlights the areas which contribute to image distortion during recompression. A quantisation error reduction algorithm with the aim to preserve the originality of the image against recompression was presented. Statistical information from a typical image was collected which was then used as the threshold in the run time criteria of the algorithm. The algorithm works with the approach of adjusting the DCT coefficients to correct the quantisation errors. The algorithm was found work well for both images consisting of low frequency and high frequency components.",

author = "Ng, {C. M.} and Ng, {Vincent To Yee} and Poon, {P. L.}",

year = "2001",

month = dec,

day = "1",

language = "English",

pages = "1460--1465",

booktitle = "Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS",

note = "Joint 9th IFSA World Congress and 20th NAFIPS International Conference ; Conference date: 25-07-2001 Through 28-07-2001",

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Quantisation error reduction for reducing Q-factor JPEG recompression. / Ng, C. M.; Ng, Vincent To Yee; Poon, P. L.
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS. 2001. p. 1460-1465.

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

TY - GEN

T1 - Quantisation error reduction for reducing Q-factor JPEG recompression

AU - Ng, C. M.

AU - Ng, Vincent To Yee

AU - Poon, P. L.

PY - 2001/12/1

Y1 - 2001/12/1

N2 - This paper studies the mechanism of recompression using the reduced Q-factor JPEG compression and highlights the areas which contribute to image distortion during recompression. A quantisation error reduction algorithm with the aim to preserve the originality of the image against recompression was presented. Statistical information from a typical image was collected which was then used as the threshold in the run time criteria of the algorithm. The algorithm works with the approach of adjusting the DCT coefficients to correct the quantisation errors. The algorithm was found work well for both images consisting of low frequency and high frequency components.

AB - This paper studies the mechanism of recompression using the reduced Q-factor JPEG compression and highlights the areas which contribute to image distortion during recompression. A quantisation error reduction algorithm with the aim to preserve the originality of the image against recompression was presented. Statistical information from a typical image was collected which was then used as the threshold in the run time criteria of the algorithm. The algorithm works with the approach of adjusting the DCT coefficients to correct the quantisation errors. The algorithm was found work well for both images consisting of low frequency and high frequency components.

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M3 - Conference article published in proceeding or book

SP - 1460

EP - 1465

BT - Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

T2 - Joint 9th IFSA World Congress and 20th NAFIPS International Conference

Y2 - 25 July 2001 through 28 July 2001

ER -

Quantisation error reduction for reducing Q-factor JPEG recompression

Abstract

Conference

ASJC Scopus subject areas

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