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Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos,...

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Image restoration Image restoration using using digital inpainting and digital inpainting and noise removal noise removal Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Image and Vision Computing 25 (2007) 61–69 r Hui-chun Su r Guo-Shiang Lin
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Page 1: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.

Image restoration using Image restoration using digital inpainting and digital inpainting and

noise removalnoise removal

Author : Celia A. Zorzo Barcelos, Marcos Aure´lio BatistaSource : Image and Vision Computing 25 (2007) 61–69 Speaker : Hui-chun SuAdvisor : Guo-Shiang Lin

Page 2: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.

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Introduction

Image inpainting and image denoising

Experimental results

Concluding remarks

Page 3: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.

Inpainting is a practice carried out by artists when modifying a picture, in such a way so that an observer is unable to detect any changes.

The inpainting process consists of, in general, the filling-in of missing information within a domain D or to replace this domain with a different kind of information, based upon the image information available outside of the domain D.

Page 4: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.

The basic idea of inpainting algorithms is to fill-in regions with available information from their surroundings.

The goal of this work is to recover the entire clean image u(x) from a given incomplete noisy image I(x) observed only outside of an inpainting domain D, performing the inpainting and denoising action simultaneously.

Page 5: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.

In this paper….

Ω 、 denotes the entire domain of the image

D 、 the inpainting domain

Dc 、 the available part of the image I on Ω

u 、 the restored image

Page 6: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.

OulineOuline

Introduction

Image inpainting and image denoising

Experimental results

Concluding remarks

Page 7: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.
Page 8: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.

To fill-in the inpainting domain, in a given picture,professionals follow these basic rules:

1.Observe the image as a whole.2.Paint the inpainting domain in the same tones found in the surrounding background regions.3.Using, as a basis, similar regions of the same image or known images of the same theme to carry out repairs in damaged regions and then add texture.

Page 9: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.
Page 10: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.

OulineOuline

Introduction

Image inpainting and image denoising

Experimental results

Concluding remarks

Page 11: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.
Page 12: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.
Page 13: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.
Page 14: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.
Page 15: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.
Page 16: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.
Page 17: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.
Page 18: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.

OulineOuline

Introduction

Image inpainting and image denoising

Experimental results

Concluding remarks

Page 19: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.

The results presented in our examples demonstrate the high performance of the proposed model which has demonstrated great efficiency in dealing with the inpainting of damaged images and denoising when the initial image is noisy.

Page 20: Image restoration using digital inpainting and noise removal Author : Celia A. Zorzo Barcelos, Marcos Aure´lio Batista Source : Image and Vision Computing.

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