NEW TECHNIQUES TO CONQUER THE IMAGE RESOLUTION ENHANCEMENT PROBLEM | Zendy

Said E. ElKhamy | Zendy; Mohiy M. Hadhoud | Zendy; Moawad I. Dessouky | Zendy; Bassiouny M. Salam | Zendy; Fathi E. Abd ElSamie | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

NEW TECHNIQUES TO CONQUER THE IMAGE RESOLUTION ENHANCEMENT PROBLEM

Author(s) -

Said E. ElKhamy,

Mohiy M. Hadhoud,

Moawad I. Dessouky,

Bassiouny M. Salam,

Fathi E. Abd ElSamie

Publication year - 2008

Publication title -

progress in electromagnetics research b

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.208

H-Index - 47

ISSN - 1937-6472

DOI - 10.2528/pierb08020404

Subject(s) - divide and conquer algorithms , computer science , resolution (logic) , image (mathematics) , artificial intelligence , computer vision , algorithm

This paper presents some new techniques for high resolution (HR) image processing and compares between them. The paper focuses on two main topics, image interpolation and image super- resolution. By image interpolation, we mean extracting an HR image from a single Degraded low resolution (LR) image. Polynomial based image interpolation is reviewed. Some new techniques for adaptive image interpolation and inverse image interpolation are presented. The other topic treated in this paper is image super-resolution. By image super resolution, we mean extracting a single HR image either from multiple observations or multiple frames. The paper focuses on the problem of image super resolution using wavelet fusion and presents several super resolution reconstruction algorithms based on the idea of wavelet fusion.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research