A novel double linear-cubic convolution interpolation for digital image scaling
Hae-Min Moon, Kyeong‐Ri Ko, Juhyun Shin, Sung Bum Pan · 2014
As the better high quality image is required for digital image scaling, longer processing time is required so the technology that can make the high quality image quickly is needed. We propose the double linear--cubic convolution interpolation creating the high quality image with low complexity. When compared to peak signal-to-noise ratio(PSNR) and computation time, the proposed interpolation provided better PSNR and low complexity than bicubic convolution interpolation.