| Paper: | MA-P8.12 |
| Session: | Image and Video Enhancement |
| Time: | Monday, September 17, 09:50 - 12:30 |
| Presentation: |
Poster
|
| Title: |
MULTI-SCALE SEMI-TRANSPARENT BLOTCH REMOVAL ON ARCHIVED PHOTOGRAPHS USING BAYESIAN MATTING TECHNIQUES AND VISIBILITY LAWS |
| Authors: |
Andrew Crawford; Università degli Studi di Roma La Sapienza | | |
| | Vittoria Bruni; Consiglio Nazionale delle Ricerche | | |
| | Anil Kokaram; University of Dublin, Trinity College | | |
| | Domenico Vitulano; Consiglio Nazionale delle Ricerche | | |
| Abstract: |
This paper presents an automatic technique to remove semi-transparent blotches (due to moisture) from archived photographs and documents. Blotches are processed in the HSV space. While chroma components are processed using a simple texture synthesis method, the intensity component is split into an over-complete wavelet representation. In the approximation band, the blotch is modelled as an alpha matte which reduces the intensity of the image in a non-uniform yet smooth manner. The alpha matte is estimated using a Bayesian approach and its effect reversed. Wavelet details are left unchanged in the case of perfect semi-transparency or attenuated using visibility laws whenever dirt and dust cause spurious edges. Experimental results achieved on many historical photographs show the effectiveness of the proposed approach. |
