Compressing the compound images by exploiting spatial correlation

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology
Pages71-74
Number of pages4
Volume4
DOIs
Publication statusPublished - 2011
Event2011 3rd International Conference on Electronics Computer Technology, ICECT 2011 - Kanyakumari, India
Duration: 08-04-201110-04-2011

Conference

Conference2011 3rd International Conference on Electronics Computer Technology, ICECT 2011
CountryIndia
CityKanyakumari
Period08-04-1110-04-11

Fingerprint

Image compression

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Lakshmi, P., Manimekalai, M. A. P., & Kumar, O. P. (2011). Compressing the compound images by exploiting spatial correlation. In ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology (Vol. 4, pp. 71-74). [5941859] https://doi.org/10.1109/ICECTECH.2011.5941859
Lakshmi, P. ; Manimekalai, M. A.P. ; Kumar, Om Prakash. / Compressing the compound images by exploiting spatial correlation. ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology. Vol. 4 2011. pp. 71-74
@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",

}

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

Compressing the compound images by exploiting spatial correlation. / Lakshmi, P.; Manimekalai, M. A.P.; Kumar, Om Prakash.

ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology. Vol. 4 2011. p. 71-74 5941859.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

UR - http://www.scopus.com/inward/record.url?scp=79961243939&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79961243939&partnerID=8YFLogxK

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

ER -

Lakshmi P, Manimekalai MAP, Kumar OP. Compressing the compound images by exploiting spatial correlation. In ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology. Vol. 4. 2011. p. 71-74. 5941859 https://doi.org/10.1109/ICECTECH.2011.5941859