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https://dspace.iiti.ac.in/handle/123456789/4637
| Title: | Mathematical validation of HWT based lossless image compression |
| Authors: | Sengupta, Anirban Roy, Dipanjan |
| Keywords: | Information systems;Information use;Mathematical transformations;Metadata;Nanoelectronics;End to end;Haar wavelet transformation;Input image;Lossless image compression;Mathematical frameworks;Original images;Transformation functions;Image compression |
| Issue Date: | 2018 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | Sengupta, A., & Roy, D. (2018). Mathematical validation of HWT based lossless image compression. Paper presented at the Proceedings - 2017 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2017, , 2018-February 20-22. doi:10.1109/iNIS.2017.14 |
| Abstract: | This paper proposes the mathematical framework and its validation for Haar Wavelet Transformation (HWT) based lossless image compression. The complete end to end transformation functions, starting from the input image to regenerate the original image without losing any data is proposed. The validation of each function is demonstrated with example. It proofs the capability of reconstructing the original image through the proposed framework. This function can be used to design the hardware for HWT-based lossless image compression. © 2017 IEEE. |
| URI: | https://doi.org/10.1109/iNIS.2017.14 https://dspace.iiti.ac.in/handle/123456789/4637 |
| ISBN: | 9781538613566 |
| Type of Material: | Conference Paper |
| Appears in Collections: | Department of Computer Science and Engineering |
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