A FAST LAGRANGE METHOD FOR LARGE-SCALE IMAGE RESTORATION PROBLEMS WITH REFLECTIVE BOUNDARY CONDITION

• 발행기관: 충청수학회
• 저자명: SeYoung Oh SunJoo Kwon
• 간행물 정보: 『Journal of the Chungcheong Mathematical Society』Volume 25, No. 2, 367~377쪽, 전체 11쪽
• 주제분류: 자연과학 > 자연과학일반
• 파일형태: PDF
• 발행일자: 2012.05.30

영문 초록

The goal of the image restoration is to ¯nd a good approximation of the original image for the degraded image, the blurring matrix, and the statistics of the noise vector given. Fast truncated Lagrange (FTL) method has been proposed by G. Landi as a image restoration method for large-scale ill-conditioned BTTB linear systems([3]). We implemented FTL method for the image restoration problem with re°ective boundary condition which gives better reconstructions of the unknown, the true image.

목차

1. Introduction

2. Fast truncated Lagrange method

3. Re°ective boundary condition

4. Experimental results

5. Conclusion