tailieunhanh - Báo cáo hóa học: " Resolution Enhancement by Prediction of the High-Frequency Image Based on the Laplacian Pyramid"

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: Resolution Enhancement by Prediction of the High-Frequency Image Based on the Laplacian Pyramid | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 72520 Pages 1-11 DOI ASP 2006 72520 Resolution Enhancement by Prediction of the High-Frequency Image Based on the Laplacian Pyramid Bo-Won Jeon 1 Rae-Hong Park 1 and Seungjoon Yang2 1 Department of Electronic Engineering School of Engineering Sogang University . Box 1142 Seoul 100-611 Korea 2 Digital Media Research and Development Center Samsung Electronics Corporation Ltd. Suwon 442-742 Korea Received 30 November 2004 Revised 20 March 2005 Accepted 7 April 2005 According to recent advances in digital image processing techniques interest in high-quality images has been increased. This paper presents a resolution enhancement RE algorithm based on the pyramid structure in which Laplacian histogram matching is utilized for high-frequency image prediction. The conventional RE algorithms yield blurring near-edge boundaries degrading image details. In order to overcome this drawback we estimate an HF image that is needed for RE by utilizing the characteristics of the Laplacian images in which the normalized histogram of the Laplacian image is fitted to the Laplacian probability density function pdf and the parameter of the Laplacian pdf is estimated based on the Laplacian image pyramid. Also we employ a control function to remove overshoot artifacts in reconstructed images. Experiments with several test images show the effectiveness of the proposed algorithm. Copyright 2006 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION In most electronic imaging applications resolution enhancement RE of images containing high-density pixels with high detail is desired and often required 1 . Most of all fast advance in multimedia technology requires RE more and more. One application is to reconstruct a higher-quality digital image from a low-resolution LR image that is obtained with an inexpensive camera camcorder for printing or frame-freeze purpose. .