Multiplexer based two variables DAA

In this paper, novel hardware architecture for performing point, line and edge detection using DAA is proposed. Such manipulations are vital in digital image processing applications and in the literature most of the implementations are on software platform only, especially in Matlab. Distributed Arithmetic Architecture (DAA) is widely used to implement inner product computations with fixed inputs. Conventional ROM-based DAA suffers from large ROM requirements. To reduce the memory requirement, adder based DAA uses pre-defined structure for computation. However, both the methods are suitable only if one input is constant. The proposed architecture overcomes this disadvantage. The new architecture is termed as Multiplexer based Distributed Arithmetic Architecture (MUX based DAA). The proposed architecture uses Multiplexer and DAA for inner product computations when both the inputs are variables. In addition, it reduces ROM requirement and complexity in constructing Adder based architecture for higher order inputs. The performance of the proposed architecture is compared with multiplier based implementation for 4-bit and 8-bit cases. The modules are implemented on the Cadence 180 nm technology. The MUX based DAA reduces power up to 81% and needs only 40% of area as compared to multiplier based implementation.