Now showing items 1-6 of 6
Statistical approach based iris recognition using local binary pattern
(FEDERACION ASOCIACIONES INGENIEROS INDUSTRIALES ESPANA, 2017-01)
Among biometric features utilized for identity recognition purposes, iris has proven to be the most reliable one in terms of sufficient distinctiveness, which has direct implications and importance towards improving the ...
Robust non-blind color video watermarking using QR decomposition and entropy analysis
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2016-07)
Issues such as content identification, document and image security, audience measurement, ownership and copyright among others can be settled by the use of digital watermarking. Many recent video watermarking methods show ...
A Robust Color Image Watermarking Scheme Using Entropy and QR Decomposition
(SPOLECNOST PRO RADIOELEKTRONICKE INZENYRSTVI, 2015-12)
Internet has affected our everyday life drastically. Expansive volumes of information are exchanged over the Internet consistently which causes numerous security concerns. Issues like content identification, document and ...
Satellite image enhancement: systematic approach for denoising and resolution enhancement
(FEDERACION ASOCIACIONES INGENIEROS INDUSTRIALES ESPANA, 2016-05)
This paper proposes a satellite image enhancement system consisting of denoising and resolution enhancement. The technique firstly decomposes the noisy input image into different frequency subbands by using Dual Tree Complex ...
Correction to: Optimal image compression via block-based adaptive colour reduction with minimal contour effect (Multimedia Tools and Applications, (2018), 77, 23, (30939-30968), 10.1007/s11042-018-6118-y)
After the publication of this work , it was noticed that the co-author Pejman Rasti was omitted as the first author following an institutional investigation. The first author’s name is inserted in this erratum article.
A new low-complexity patch-based image super-resolution
(INST ENGINEERING TECHNOLOGY-IET, 2017-10)
In this study, a novel single image super-resolution (SR) method, which uses a generated dictionary from pairs of high-resolution (HR) images and their corresponding low-resolution (LR) representations, is proposed. First, ...