Approximate Image Processing is a field of research being explored to meet the computing demands with less resources while sacrificing some of the accuracy. Image processig is one such application where the accuracy can be dropped for increased performance in terms of power, time etc. Since a multiplier is the most computation intensive part of the ALU (Arithmetic and Logic Unit), this project targets the multiplier of the ALU to make it approximate.