Improving Quality Of Fractal Compressed Images

Ehsan Nadernejad; H. Hassanpour; M. Salarian

doi:10.1109/ICMV.2007.4469273

Improving Quality Of Fractal Compressed Images

Ehsan Nadernejad, H. Hassanpour, M. Salarian

University of Mazandaran

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

This paper proposes a new quality improvement technique for fractal-based image compression techniques using diffusion equations. Fractal coding uses a contractive mapping scheme to represent an image. This process of contractive mapping causes artifacts and blocking effects in encoded images. This problem is severed when compression ratio is increased or there are high frequency regions in the image. Hence, to amulet the deficiency of fractal coding approaches in image compression, we propose using diffusion equations as a post processor. Diffusion equations are powerful tools for image enhancement. This technique has been examined on a variety of standard images. The obtained results indicate that the proposed method improves performance of fractal-based image compression techniques.

Original language	English
Title of host publication	International Conference on Machine Vision, 2007
Publisher	IEEE
Publication date	2007
Pages	56-61
ISBN (Print)	978-1-4244-1624-0
ISBN (Electronic)	978-1-4244-1625-7
DOIs	https://doi.org/10.1109/ICMV.2007.4469273
Publication status	Published - 2007
Externally published	Yes
Event	International Conference on Machine Vision (ICMV) - Islamabad, Pakistan Duration: 28 Dec 2007 → 29 Dec 2007 http://icmv.mcs.edu.pk/ICMV2007/ICMV2007.htm

Conference

Conference	International Conference on Machine Vision (ICMV)
Country/Territory	Pakistan
City	Islamabad
Period	28/12/2007 → 29/12/2007
Internet address	http://icmv.mcs.edu.pk/ICMV2007/ICMV2007.htm

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10.1109/ICMV.2007.4469273

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@inproceedings{8f3ca640dafa4ee2909eb576bb1c2c5f,

title = "Improving Quality Of Fractal Compressed Images",

abstract = "This paper proposes a new quality improvement technique for fractal-based image compression techniques using diffusion equations. Fractal coding uses a contractive mapping scheme to represent an image. This process of contractive mapping causes artifacts and blocking effects in encoded images. This problem is severed when compression ratio is increased or there are high frequency regions in the image. Hence, to amulet the deficiency of fractal coding approaches in image compression, we propose using diffusion equations as a post processor. Diffusion equations are powerful tools for image enhancement. This technique has been examined on a variety of standard images. The obtained results indicate that the proposed method improves performance of fractal-based image compression techniques.",

author = "Ehsan Nadernejad and H. Hassanpour and M. Salarian",

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doi = "10.1109/ICMV.2007.4469273",

language = "English",

isbn = "978-1-4244-1624-0",

pages = "56--61 ",

booktitle = "International Conference on Machine Vision, 2007",

publisher = "IEEE",

address = "United States",

note = "International Conference on Machine Vision (ICMV) ; Conference date: 28-12-2007 Through 29-12-2007",

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T1 - Improving Quality Of Fractal Compressed Images

AU - Nadernejad, Ehsan

AU - Hassanpour, H.

AU - Salarian, M.

PY - 2007

Y1 - 2007

N2 - This paper proposes a new quality improvement technique for fractal-based image compression techniques using diffusion equations. Fractal coding uses a contractive mapping scheme to represent an image. This process of contractive mapping causes artifacts and blocking effects in encoded images. This problem is severed when compression ratio is increased or there are high frequency regions in the image. Hence, to amulet the deficiency of fractal coding approaches in image compression, we propose using diffusion equations as a post processor. Diffusion equations are powerful tools for image enhancement. This technique has been examined on a variety of standard images. The obtained results indicate that the proposed method improves performance of fractal-based image compression techniques.

AB - This paper proposes a new quality improvement technique for fractal-based image compression techniques using diffusion equations. Fractal coding uses a contractive mapping scheme to represent an image. This process of contractive mapping causes artifacts and blocking effects in encoded images. This problem is severed when compression ratio is increased or there are high frequency regions in the image. Hence, to amulet the deficiency of fractal coding approaches in image compression, we propose using diffusion equations as a post processor. Diffusion equations are powerful tools for image enhancement. This technique has been examined on a variety of standard images. The obtained results indicate that the proposed method improves performance of fractal-based image compression techniques.

U2 - 10.1109/ICMV.2007.4469273

DO - 10.1109/ICMV.2007.4469273

M3 - Article in proceedings

SN - 978-1-4244-1624-0

SP - 56

EP - 61

BT - International Conference on Machine Vision, 2007

PB - IEEE

T2 - International Conference on Machine Vision (ICMV)

Y2 - 28 December 2007 through 29 December 2007

ER -

Improving Quality Of Fractal Compressed Images

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