tailieunhanh - Báo cáo hóa học: " Research Article Superresolution under Photometric Diversity of Images"

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: Research Article Superresolution under Photometric Diversity of Images | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 36076 12 pages doi 2007 36076 Research Article Superresolution under Photometric Diversity of Images Murat Gevrekci and Bahadir K. Gunturk Department of Electrical Engineering Louisiana State University Baton Rouge LA 70809 USA Received 31 August 2006 Accepted 9 April 2007 Recommended by Richard R. Schultz Superresolution SR is a well-known technique to increase the quality of an image using multiple overlapping pictures of a scene. SR requires accurate registration of the images both geometrically and photometrically. Most of the SR articles in the literature have considered geometric registration only assuming that images are captured under the same photometric conditions. This is not necessarily true as external illumination conditions and or camera parameters such as exposure time aperture size and white balancing may vary for different input images. Therefore photometric modeling is a necessary task for superresolution. In this paper we investigate superresolution image reconstruction when there is photometric variation among input images. Copyright 2007 M. Gevrekci and B. K. Gunturk. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Detailed visual descriptions are demanded in a variety of commercial and military applications including surveillance systems medical imaging and aerial photography. Imaging devices have limitations in terms of for example spatial resolution dynamic range and noise characteristics. Researchers are working to improve sensor characteristics by exploring new materials manufacturing processes and technologies. In addition to the developments in sensor technology image processing ideas are also explored to improve image quality. One promising research .