A High speed Area Efficient Compression technique of Dadda multiplier for Image Blending Application

Multimedia and Image processing are the two widely used applications in Digital signal processing domain through which the information/data will be delivered in a compact size. The interesting concept lies with approximate computing where the arithmetic designs are performed with reduced power, area and delay. In this paper, the analyses of four different compression techniques are done in a 8X8 dadda multiplier and it is further applied on image blending where pixel by pixel multiplication is been carried out. While comparing the results of both existing and proposed designs, the proposed design operates with greater speed, consumes less power and occupies less area. In addition to that, the proposed multipliers is well suited for image blending with respect to Peak Signal to Noise Ratio (PSNR).