Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Low-Cost Super-Resolution Algorithms Implementation over a HW/SW Video Compression Platform | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 84614 Pages 1-29 DOI ASP 2006 84614 Low-Cost Super-Resolution Algorithms Implementation over a HW SW Video Compression Platform Gustavo M. Callico 1 Rafael Peset Llopis 2 Sebastian Lopez 1 Jose Fco. Lopez 1 Antonio Nunez 1 Ramanathan Sethuraman 3 and Roberto Sarmiento1 1 The University of Las Palmas de Gran Canaria Institute for Applied Microelectronics IUMA Tafira Baja 35017 Spain 2Philips Consumer Electronics SFJ-6 . Box 80002 5600 JB The Netherlands 3 Philips Research Laboratories WDC Professor Holstlaan 4 5656 AA Eindhoven The Netherlands Received 1 December 2004 Revised 5 July 2005 Accepted 8 July 2005 Two approaches are presented in this paper to improve the quality of digital images over the sensor resolution using superresolution techniques iterative super-resolution ISR and noniterative super-resolution NISR algorithms. The results show important improvements in the image quality assuming that sufficient sample data and a reasonable amount of aliasing are available at the input images. These super-resolution algorithms have been implemented over a codesign video compression platform developed by Philips Research performing minimal changes on the overall hardware architecture. In this way a novel and feasible low-cost implementation has been obtained by using the resources encountered in a generic hybrid video encoder. Although a specific video codec platform has been used the methodology presented in this paper is easily extendable to any other video encoder architectures. Finally a comparison in terms of memory computational load and image quality for both algorithms as well as some general statements about the final impact of the sampling process on the quality of the super-resolved SR image are also presented. Copyright 2006 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Here are two straightforward ways to increase .
