Share Email Print
cover

Proceedings Paper

Recovery of data from damaged CD/DVD
Author(s): Dan E. Tamir; Wilbon Davis; Larry Wolfe; Robert McNiece
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper presents a novel system for automatic data recovery from damaged CD (or DVD). The system acquires a sequence of optically magnified high resolution digital images of partially overlapping CD-surface regions. Next, advanced image processing and pattern recognition techniques are used to extract the data encoded on the CD from image frames. Finally, forensic data recovery techniques are applied to provide the maximal usable CD data. Using the CD's error correction information, the entire data of a non-damaged CD can be extracted with 100% accuracy. However, if an image frame covers a damaged area, then the data encoded in the frame and some of its eight neighbor image frames may be compromised. Nevertheless, the effect of the frame overlapping, error correction code, forensic data recovery, and data fusion techniques can maximize the amount of data extracted from compromised frames. The paper analyzes low level image processing techniques, compromised frames scenarios, and data recovery results. An analytical model backed by experimental set up shows that there is high probability of recovering data despite certain damages. Current results should be of high interest to law enforcement and home-land-security agencies. They merit further research and investigation to cover additional applications of image processing of CD frames, such as encryption, parallel access, and zero-seek-time.

Paper Details

Date Published: 24 September 2007
PDF: 10 pages
Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66962I (24 September 2007); doi: 10.1117/12.735347
Show Author Affiliations
Dan E. Tamir, Texas State Univ. (United States)
Wilbon Davis, Texas State Univ. (United States)
Larry Wolfe, Lucere Data Inc. (United States)
Robert McNiece, Lucere Data Inc. (United States)


Published in SPIE Proceedings Vol. 6696:
Applications of Digital Image Processing XXX
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top