A Novel Lossless Coding Technique for Image Compression
Md. Atiqur Rahman, Jungpil Shin, Aloke Kumar Saha, Md. Rashedul Islam · 2018
Advanced imaging technology produces a vast amount of data, particularly from the computed tomography modality. Store the imaging data and/or transfer the data through internet is a significant challenge in terms of cost and time. From this point of view, it is obligatory to compress the imaging data effectively. There are many state of the art coding techniques used to compress data such as Huffman coding. This paper proposes a new coding technique for loss-less imaging data compression. In this proposed method, the probability of image data has been assigned by binary sequence with fewer number of bits which provides an improved result than the state of art techniques in terms of compression ratio and average code length.