A PREDICTIVE CODING METHOD FOR LOSSLESS COMPRESSION OF IMAGES

Authors

  • Anil Mishra 1/17-c,Vinamra Khand,Gomti Nagar,Lucknow(U.P.)-226010
  • Ms. Savita Shiwani

DOI:

https://doi.org/10.24297/ijct.v7i3.3449

Keywords:

Image compression, lossless compression, GAP, Medical imaging

Abstract

Images are an important part of today's digital world. However, due to the large quantity of data needed to represent modern imagery the storage of such data can be expensive. Thus, work on efficient image storage (image compression) has the potential to reduce storage costs and enable new applications.This lossless image compression has uses in medical, scientific and professional video processing applications.Compression is a process, in which given size of data is compressed to a smaller size. Storing and sending images to its original form can present a problem in terms of storage space and transmission speed.Compression is efficient for storing and transmission purpose.

In this paper we described a new lossless adaptive prediction based algorithm for continuous tone images. In continuous tone images spatial redundancy exists.Our approach is to develop a new backward adaptive prediction techniques to reduce spatial redundancy in a image.The new prediction technique known as Modifed Gradient Adjusted Predictor (MGAP) is developed. MGAP is based on the prediction method used in Context based Adaptive Lossless Image Coding (CALIC). An adaptive selection method which selects the predictor in a slope bin in terms of minimum entropy improves the compression performance.

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Author Biographies

Anil Mishra, 1/17-c,Vinamra Khand,Gomti Nagar,Lucknow(U.P.)-226010

Research Scholar

Ms. Savita Shiwani

Associate Professor

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Published

2013-06-10

How to Cite

Mishra, A., & Shiwani, M. S. (2013). A PREDICTIVE CODING METHOD FOR LOSSLESS COMPRESSION OF IMAGES. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 7(3), 683–685. https://doi.org/10.24297/ijct.v7i3.3449

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Section

Research Articles