Abstract
Now a days, large amount of information storage and transmission is common in public sectors as well as private sectors like Governments, military, and so on. With increase of demand in digital network more and more accurate images are transmitted. Whenever we are transmitting an image with larger size it occupies more space. In order to reduce the size, Image compression an efficient and advantageous technique is used to remove the redundant data from the image. Thereby the storage space in memory is reduced and also it takes less time to transmit the image. Therefore, development of efficient image compression techniques has become necessary. In this paper, a new algorithm matrix substitution technique is proposed in order to reduce the occupied space by replacing group of bits with a single bit.
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Naga Lakshmi, T., Jyothi, S. (2020). Performing Image Compression and Decompression Using Matrix Substitution Technique. In: Jyothi, S., Mamatha, D., Satapathy, S., Raju, K., Favorskaya, M. (eds) Advances in Computational and Bio-Engineering. CBE 2019. Learning and Analytics in Intelligent Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-030-46939-9_3
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DOI: https://doi.org/10.1007/978-3-030-46939-9_3
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