Compressing the compound images by exploiting spatial correlation

P. Lakshmi; M. A.P. Manimekalai; Om Prakash Kumar

doi:10.1109/ICECTECH.2011.5941859

Compressing the compound images by exploiting spatial correlation

P. Lakshmi, M. A.P. Manimekalai, Om Prakash Kumar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Image compression techniques exploit a common characteristic of most of the images that the neighbouring picture elements are highly correlated. The rasterized images which are the compound images are the bitmaps containing mix of text, graphics and natural image. The strong anisotropic features are detected on the text and graphics parts of such images which is the root cause of inefficiency in conventional compression techniques. In this paper, we have done the better exploitation of the spatial correlation of the test image and the image compression is made efficient.

Original language	English
Title of host publication	ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology
Pages	71-74
Number of pages	4
Volume	4
DOIs	https://doi.org/10.1109/ICECTECH.2011.5941859
Publication status	Published - 2011
Event	2011 3rd International Conference on Electronics Computer Technology, ICECT 2011 - Kanyakumari, India Duration: 08-04-2011 → 10-04-2011

Conference

Conference	2011 3rd International Conference on Electronics Computer Technology, ICECT 2011
Country/Territory	India
City	Kanyakumari
Period	08-04-11 → 10-04-11

All Science Journal Classification (ASJC) codes

Hardware and Architecture
Electrical and Electronic Engineering

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10.1109/ICECTECH.2011.5941859

Cite this

@inproceedings{b354fb4a153e4498a2f4cff751096aed,

title = "Compressing the compound images by exploiting spatial correlation",

abstract = "Image compression techniques exploit a common characteristic of most of the images that the neighbouring picture elements are highly correlated. The rasterized images which are the compound images are the bitmaps containing mix of text, graphics and natural image. The strong anisotropic features are detected on the text and graphics parts of such images which is the root cause of inefficiency in conventional compression techniques. In this paper, we have done the better exploitation of the spatial correlation of the test image and the image compression is made efficient.",

author = "P. Lakshmi and Manimekalai, {M. A.P.} and Kumar, {Om Prakash}",

year = "2011",

doi = "10.1109/ICECTECH.2011.5941859",

language = "English",

isbn = "9781424486779",

volume = "4",

pages = "71--74",

booktitle = "ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology",

note = "2011 3rd International Conference on Electronics Computer Technology, ICECT 2011 ; Conference date: 08-04-2011 Through 10-04-2011",

}

Lakshmi, P, Manimekalai, MAP & Kumar, OP 2011, Compressing the compound images by exploiting spatial correlation. in ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology. vol. 4, 5941859, pp. 71-74, 2011 3rd International Conference on Electronics Computer Technology, ICECT 2011, Kanyakumari, India, 08-04-11. https://doi.org/10.1109/ICECTECH.2011.5941859

TY - GEN

T1 - Compressing the compound images by exploiting spatial correlation

AU - Lakshmi, P.

AU - Manimekalai, M. A.P.

AU - Kumar, Om Prakash

PY - 2011

Y1 - 2011

N2 - Image compression techniques exploit a common characteristic of most of the images that the neighbouring picture elements are highly correlated. The rasterized images which are the compound images are the bitmaps containing mix of text, graphics and natural image. The strong anisotropic features are detected on the text and graphics parts of such images which is the root cause of inefficiency in conventional compression techniques. In this paper, we have done the better exploitation of the spatial correlation of the test image and the image compression is made efficient.

AB - Image compression techniques exploit a common characteristic of most of the images that the neighbouring picture elements are highly correlated. The rasterized images which are the compound images are the bitmaps containing mix of text, graphics and natural image. The strong anisotropic features are detected on the text and graphics parts of such images which is the root cause of inefficiency in conventional compression techniques. In this paper, we have done the better exploitation of the spatial correlation of the test image and the image compression is made efficient.

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U2 - 10.1109/ICECTECH.2011.5941859

DO - 10.1109/ICECTECH.2011.5941859

M3 - Conference contribution

AN - SCOPUS:79961243939

SN - 9781424486779

VL - 4

SP - 71

EP - 74

BT - ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology

T2 - 2011 3rd International Conference on Electronics Computer Technology, ICECT 2011

Y2 - 8 April 2011 through 10 April 2011

ER -

Compressing the compound images by exploiting spatial correlation

Abstract

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All Science Journal Classification (ASJC) codes

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