Abstract

Old digital pictures or scanned images of old paper based images tend to have annoying scratches. This effects the overall quality of the image, both quantitively and visually. To remove these scratches and to generate a perfect noise and scratch free image, a novel method is presented in this paper. This approach not only detects scratches in an image but also removes them effectively. The method starts with a scratched digital version of an image then it removes noises after which region of scratch are identified. Filtering is an important step in this proposed method. Here filtering is a two level process after which a specific superimposing method is been applied to reconstruct the scratch and noise free image.

References

• L. Joyeux, O. Buisson, B. Besserer, S. Boukir. Detection and Removal of Line Scratches in Motion Picture Films. University de La Rochelle, avenue Marillac,France
• R. Thilepa, M. Thanikachalam. A Paper On Automatic Fabrics Fault Processing Using Image Processing Technique In MATLAB. An International Journal(SIPIJ) Vol. 1, No. 2, December 2010
• Francesco Isgro, Domenico Tegolo. Restoration of vertical line scratches with a distributed genetic algorithm.
• Ruth Bergman, Ron Maurer, Hila Nachlieli, Gitit Ruckenstein, Patrick Chase, Darryl Greig. Comprehensive Solutions for Removal of Dust and Scratches from Images. HP Laboratories Israel HPL-2007-20 February 6, 2007
• Anil N. Hirani, Takashi Totsuka. A Projection Based Algorithm for Scratch and Wire Removal in Images. Hashimoto Signal Processing Lab. Sony Research Center, Tokyo
• Kenta Chishima, Kaoru Arakawa. A Method of Scratch Removal from Old Movie Film Using Variant Window by Hough Transform. Department of Computer Science, Graduate School of Science and Technology
• T. Bretschneider, O. Kao. Detection and Removal of Scratches in Digitised Film Sequences. Department of Computer Science, Technical University of Clausthal,Julius-Albert-Straße 4, 38678 Clausthal, Germany
• Laurent Joyeux, Samia Boukir, Bernard Besserer. Film Line Scratch Removal Using Kalman Filtering and Bayesian Restoration. WACV'2000, IEEE Workshop on the Application of Computer Vision, Palm Springs, California, December 2000
• Anil Kokaram. Detection And Removal Of Line Scratches In Degraded Motion Picture Sequences. Engineering Department, university of Cambridge
• Michal Haindl & Jiri Filip. Fast Restoration of Colour Movie Scratches. Institute of Information Theory and Automation Academy of Sciences of the Czech Republic
• T. Bretschneider ,P. J. Bones. Removal of Vertical Scratchesin Digitised Historical Film Sequences Using Wavelet Decomposition. Department of Electrical and Electronic Engineering
• M. Haindl. A scratch removal . Method. Institute of Information Theory and Automation, Czech Republic
• Domenico Tegolo. Scratch Detection And Removal From Static Images Using Simple Statistics And Genetic Algorithm. Universit`a di Palermo
• O. Kao, J. Engehausen. Scratch removal in digitized film sequences. Department of computer Science, Germany
• V. Bruni, D. Vitulano. Fast Removal of Line Scratches in Old Movies. Istituto per le Applicazioni del Calcolo, Italy
• Lucia Maddalena, Alfredo Petrosino. Restoration of blue scratches in digital image sequences. Received 24 January 2006; accepted 28 April 2006
• Robin D. Morris. A Sampling Based Approach To Line Scratch Removal From Motion Pictures Frames. 2004, route des Lucioles, BP93, 06904 Sophia Antipolis, France.
• Markus Glaß, BirgitM¨ oller, AnneZirkel, KristinW¨achter, StefanH¨ uttelmaier and StefanPosch. Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines(Zentrumf¨ur AngewandteMedizinischeundHumanbiologischeForschung(ZAMED),MartinLutherUniversityHalle Wittenberg,Heinrich-Damerow-Str. 1,06120 Halle(Saale),Germany b Institute ofComputerScience,MartinLutherUniversityHalle-Wittenberg,Von-Seckendorff Platz1,06099Halle(Saale),Germany)
• Mehdi Haji, TienD. Bui,ChingY. Suen. Removal of noise patterns in handwritten images using expectation maximization and fuzzy inference systems(Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada)
• Kyung-tai Kim, Eun Yi Kim. Film line scratch detection using texture and shape information(Department of Advanced Technology Fusion, Konkuk University, 1 Hwayang-dong, Gwangjin-gu, Seoul 143-701, South Korea)
• L. joyeux,S. Boukir. Reconstruction of degraded image sequences. Application to film restoration. (Received 16th April 1999,revised 29th sept 2000. accepted 30th sept 2000).
• Celia A. Zorzo Barcelos , Marcos Aure´lio Batista. Image restoration using digital inpainting and noise removal(Received 26 May 2004; received in revised form 4 August 2005; accepted 18 December 2005).
• Ali Gangala, Temel Kayikcioglu, Bekir Dizdaroglu. An improved motion-compensated restoration method for damaged color motion picture films. ( Received 27 May 2003; received in revised form 18 November 2003; accepted 20 January 2004).
• P. Pankajakshan , V. Kumar. Detail-preserving image information restoration guided by SVM based noise mapping(Department of Electrical Engineering, Texas A&M University, College Station, TX 77843, USA Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttaranchal, India, Available online 12 December 2006 Abstract)
• M. Kemal Güllü, O?uzhan Urhan, Sarp Ertürk. Scratch Detection via Temporal Coherency Analysis and Removal using Edge Priority Based Interpolation(Department of Electronics and Telecommunications Engineering University of Kocaeli Kocaeli, Turkey {kemalg, urhano, sertur}@kou. edu. tr).
• Kamon Homkajorn, Mahasak Ketcham, and Sartid Vongpradhip. A Technique to Remove Scratches from QR Code Images (International Conference on Computer and Communication Technologies (ICCCT'2012) May 26-27, 2012 Phuket).
• Bernard Besserer and Cedric Thir. Detection and Tracking Scheme for Line Scratch Removal in an Image Sequence(Laboratoire Informatique, Image, Interaction (L3i), Universit´e La Rochelle, 17042 La Rochelle cedex 1, France {bernard. besserer,cedric. thire}@univ-lr. fr http://www. univ-lr. fr).
• Laurent Joyeux, Samia Boukir, Bernard Besserer. Tracking and MAP reconstruction of line scratches in degraded motion pictures(Laboratoire d'Informatique et d'Imagerie Industrielle (L3i), Universit´e de La Rochelle, avenue Michel Cr´epeau, 17042 La Rochelle cedex 1, France; e-mail: {ljoyeux,sboukir,bbessere}@univ-lr. fr Accepted: 13 August 2001).
• Alexandre Ulisses Silva , Luís Corte-Real Inesc-Porto. Removal of Blotches And Line Scratches From Film Aan Video Sequences Using a Digital Restoration Chain(Faculdade de Engenharia da Universidade do Porto / INESC-Porto Rua dos Bragas 4099 Porto Codex, Portugal email:lreal@inescn. pt).
• Timothy K. Shih and Louis H. Lin. Detection And Removal Of Long Scratch Lines In Aged Films (Department of Comp. Sci. and Information Engineering Tamkang University, Taiwan tshih@cs. tku. edu. tw)