Comparative study of Block Truncation Coding with EBTC

This comparison paper scrutinizes image compression using Block Truncation Coding. Many algorithms were selected likely the original Block Truncation coding, Absolute Moment Block Truncation Coding, a comparison survey was executed. These above techniques are divided image into non overlapping blocks. They distinguish in the direction of choosing the quantization level in order to remove redundancy. Objectives measures are used to evaluate the image degree of excellence such as Peak Signal to Noise Ratio, Mean Square Error, Weighted Peak Signal to Noise Ratio, compression ratio, Bit Rate etc. At the end, conclusions have shown that the Futuristic Enhanced Block Truncation Coding algorithm outperforms the Block Truncation Codingas well as Absolute Moment Block Truncation Coding. It has been show that the image compression using Futuristic Enhanced Block Truncation Coding provides better image quality than image compression using Block Truncation coding and Absolute Moment Block Truncation Coding at the closer bit rate. Keywords-compression, discrete cosine transforms,futuristic enhanced block truncation coding,gray-scale images,moment preserving, structural similarity index, VQ.