An Evolution in Single Image Super Resolution using Deep Learning

To start with, a very early solution was the method of interpolation in image processing. Here, the low resolution image is resized by a factor of 2x or 4x using some interpolation method like nearest-neighbor, bilinear or bicubic method of interpolation. "Interpolation works by using known data to estimate values at unknown points. Image interpolation works in two directions, and tries to achieve a best approximation of a pixel's intensity based on the values at surrounding pixels." As from above illustration it is very clear that is resultant image is blurred and unrealistic.