Efficiency of Entropy Coding as well as Dictionary based Technique for Lossless Data Compression

Communication is exchange of information between the devices, which very important in today's life. Communication is wide utilized in all fields, such as telephone, television, weather forecasting and etc. There are different kinds of communication techniques. All the data which have to be transmitted has to be compressed in order to send more and more data. Communication is one of the main processes in many domains, but to send the information, the data has to be compressed, so that more and more data can be transmitted. In this paper presented the concept of data compression technique has been explained, which also includes efficiency of entropy and dictionary based techniques of lossless data type. And also include the merits and demerits, coding complexity, decoding capability and compression ratio of both entropy and dictionary based compression technique. Even it includes Huffman coding has been explained clearly using flowchart and implemented for a bit map image and encrypted and decrypted the image