Abstract
For the compression of images, the needs of some techniques for compressing the images is always increasing as when the images are raw, they do need additional space in the disk and as far as the transmission and their storage is concerned it is a big disadvantage. Though for the compression of images, there are a lot of latest techniques available nowadays, but the fast and efficient one is the technique which generally goes well with the client’s requirements. The lossless method of compression and decompression of images is studied in this paper with the help of a simple and efficient technique for coding known as Huffman’s coding. As far as implementation is concerned, the technique is simple and comparatively lesser memory is needed for its execution. There has been a special software algorithm which is generated and also implemented to either compress or decompress the images with the help of Huffman techniques of coding images in a platform known as MATLAB.
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Maurya, I., Gupta, S.K. (2019). Understandable Huffman Coding: A Case Study. In: Ray, K., Sharma, T., Rawat, S., Saini, R., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 742. Springer, Singapore. https://doi.org/10.1007/978-981-13-0589-4_14
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DOI: https://doi.org/10.1007/978-981-13-0589-4_14
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