• Ankit singh
• akansha singh
• Abhishek kumar Saxena

Image compression is one of the advantageous techniques in different types of multi-media services. Image Compression technique have been emerged as one of the most important and successful applications in image analysis. The process of reducing the size of a data file is often referred to as data compression. In this paper the proposal of image compression using simple coding techniques called Huffman; Discrete Wavelet Transform (DWT) coding and fractal algorithm is deeply studied and compared. This paper is best recommended for new researchers studying digital image processing and various algorithms for further elaborations.

Error resilience, image coding, image compression, Huffman algorithm.

"Digital Image Processing and Compression: A Descriptive Study and Comparison of Fundamental Algorithms.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.276-284, June-2019, Available :http://www.jetir.org/papers/JETIR1906967.pdf

"Digital Image Processing and Compression: A Descriptive Study and Comparison of Fundamental Algorithms.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp276-284, June-2019, Available at : http://www.jetir.org/papers/JETIR1906967.pdf