1 min read

Bachelor's Thesis: Developing of a Performance Comparison Index for Image Super-Resolution Models

Bachelor's Thesis: Developing of a Performance Comparison Index for Image Super-Resolution Models
Photo by NIPYATA! / Unsplash

I had been working on my thesis for a year after finishing all my studies and participated in a great research journey within the Holographic Imagining Laboratory of Marmara University. We have asked the ultimate question of image processing: how to determine a picture's quality? Here in this thesis and the published article, you can find our solution to this dilemma.

Performance comparison index for image super-resolution models - Signal, Image and Video Processing
Image super-resolution is a critical aspect of image enhancement, facilitating the reconstruction of high-quality images from low-resolution inputs. Traditional quality assessment metrics like SSIM, MSE, and PSNR have limitations in effectively evaluating super-resolution models due to their focus o…
The shorter version of the thesis, we have published an article in Springer's Signal Image and Video Processing journal.

The files related to the thesis: