TRANSPA — 1: A mixed approach to image compression algorithm

A fundamental goal of lossy image compression is to reduce the bit rate, to save time in transmission and save storage of memory of digital images while maintaining an acceptable fidelity or image quality. There usually are two methods to design simple and efficient coding algorithms. One is to modify a simple coding algorithm by keeping its simplicity while improving its efficiency; the other is to modify an efficient coding algorithm by keeping its efficiency while reducing its complexity. The TRANSPA-1 algorithm to be discussed in this paper uses a mixed approach that combines the features of Transform and Spatial coding technique. It is a simple yet efficient algorithm. The suitability of the algorithm is tested for different types of images such as textured and untextured images. The performance measures such as Maximum Compression Achieved (MCA), Signal to Noise Ratio (SNR), Error Rate (ER) are evaluated.