Research Article
Empirical Evaluation of Coding and Inter Pixel Redundancy in still Image Compression
@ARTICLE{10.4108/eetsis.5029, author={Anitha S and Kavitha J}, title={Empirical Evaluation of Coding and Inter Pixel Redundancy in still Image Compression}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={11}, number={4}, publisher={EAI}, journal_a={SIS}, year={2024}, month={2}, keywords={Prediction based Image Compression, Intensity based Image compression, Intra Prediction, Modulus Transformation, Integrated Encoder, octagon based intra prediction, neighboring block, JPEG 2000}, doi={10.4108/eetsis.5029} }- Anitha S
Kavitha J
Year: 2024
Empirical Evaluation of Coding and Inter Pixel Redundancy in still Image Compression
SIS
EAI
DOI: 10.4108/eetsis.5029
Abstract
The main aim of this research work is to compress grayscale images efficiently using prediction and intensity-based image compression algorithms. Image compression is useful for removing the duplication in an image to store and transmit the data in an efficient form. This research work analyzes four new schemes for gray scale lossy image compression. Among the four schemes considered, two compressive approaches are designed for Prediction Based Image Compression (PBIC) level implementation. Third approach is designed for Intensity Based Image Compression (IBIC). Finally, the previously designed PBIC and IBIC schemes lead to an Integrated Encoder. All the considered method performances are analyzed using the performance metrics. These results are compared with JPEG 2000 which is a extensively used benchmark compression encoder. The outcome of all the proposed methods is also compared with modern encoders.
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