Đang chuẩn bị liên kết để tải về tài liệu:
Báo cáo hóa học: " Application of Super-resolution Image Reconstruction to Digital Holography"

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: Application of Super-resolution Image Reconstruction to Digital Holography | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article 1D90358 Pages 1-7 DOI 10.1155 ASP 2006 90358 Application of Super-resolution Image Reconstruction to Digital Holography Shuqun Zhang Department of Computer Science College of Staten Island City University of New York 2800 Victory Boulevard Staten Island NY 10314 USA Received 1 December 2004 Revised 10 April 2005 Accepted 18 April 2005 We describe a new application of super-resolution image reconstruction to digital holography which is a technique for threedimensional information recording and reconstruction. Digital holography has suffered from the low resolution of CCD sensors which significantly limits the size of objects that can be recorded. The existing solution to this problem is to use optics to bandlimit the object to be recorded which can cause the loss of details. Here super-resolution image reconstruction is proposed to be applied in enhancing the spatial resolution of digital holograms. By introducing a global camera translation before sampling a high-resolution hologram can be reconstructed from a set of undersampled hologram images. This permits the recording of larger objects and reduces the distance between the object and the hologram. Practical results from real and simulated holograms are presented to demonstrate the feasibility of the proposed technique. Copyright 2006 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Due to the physical limitations and cost of imaging sensors it is difficult to obtain high-resolution images in many applications. The low-resolution images are often degraded by noise blurring and aliasing effects. Super-resolution image reconstruction has been demonstrated to be very effective in removing these effects by combining several low-resolution images to yield a single high-resolution image. Numerous algorithms for image resolution enhancement have been published since Tsai and Huang 1 first proposed their .