• John Moses C

Interpolation is the process of determining the values of a function at positions lying between its samples. Quality and complexity vary with different interpolation methods. A high quality adaptive edge-based algorithm is proposed by using linear interpolation. The proposed algorithm consists of a sigmoidal edge detector, clamp filter and linear interpolation. The clamp filter reduces the blurring effect produced by linear interpolation. Clamp filter performs based on the characteristics of edge pixels. The hardware architecture of edge-based stepwise linear interpolation (AABSI) interpolation algorithm is simulated by using MATLAB as well as MATLAB Simulink and Xilinx System generator. The experimental results show that the proposed AABSI outperforms the conventional adder-based stepwise linear interpolation (ABSI) in terms its peak signal to nose ratio (PSNR) and structural similarity index (SSIM).

Up-sampling, FPGA, scaling, clamp filte, edge detection.

"ADAPTIVE ADDER-BASED STEPWISE LINEAR INTERPOLATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.231-237, October-2018, Available :http://www.jetir.org/papers/JETIRJ006036.pdf

"ADAPTIVE ADDER-BASED STEPWISE LINEAR INTERPOLATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp231-237, October-2018, Available at : http://www.jetir.org/papers/JETIRJ006036.pdf