Mejora de los algoritmos de Súper Resolución de Imágenes usando el Esquema de Retro-proyección Iterativa (Improvement of Image Super-resolution Algorithms using Iterative Back Projection)

Ernesto Blanco Castro (, Mariko Nakano (, Gabriel Sanchez Pérez (, Héctor Perez Meana (

1Instituto Politécnico Nacional

This paper appears in: Revista IEEE América Latina

Publication Date: Nov. 2017
Volume: 15,   Issue: 11 
ISSN: 1548-0992

This paper presents a scheme for improving the image quality produced by most super-resolution (SR) algorithms. In the proposed scheme the quality of a given image whose size has been increased by a SR system, is improved by using an iterative back projection and sharpening process. The improvement of the image quality obtained by using the proposed method used together with several previously proposed image interpolation algorithms is compared with those obtained by using classic interpolation methods and some other state-of-the-art algorithms. In all cases, the image is evaluated using several Image quality assessment models such as: Visual Information Fidelity (VIF), Structural Similarity Index Measure (SSIM), and Spatial‑Spectral Entropy-based Quality index (SSEQ), as well as subjective way. Evaluation results show the desirable features of the proposed scheme.

Index Terms:
Iterative back projection, Lanczos interpolation method, Super-resolution, SWT-based interpolation.   

Documents that cite this document
This function is not implemented yet.

[PDF Full-Text (1389)]