Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93)
DOI: 10.1109/icdar.1993.395633
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Global and local document degradation models

Abstract: Two sources of document degradation are modeled -a) perspective distortion that occurs while photocopying or scanning thick, bound documents, and ii) degradation due to perturbation i n the optical scanning and digitization process: speckle, blurr, jitter, threshold. Perspective distortion is modeled by studying the underlying perspective geometry of the optical system of photocopiers and scanners. An illumination model is described to account for the non-linear intensity change occuring across a page in a per… Show more

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Cited by 120 publications
(82 citation statements)
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“…For the pixel-level shape-preservation evaluation the ground truth is the original raster image on which the detection algorithms operate. To evaluate the processing capability (robustness) of image analysis algorithms on real-life, noisy images, image degradation models have been proposed by Kanungo et al (1993) and used by Haralick (1992) and Hori and Doermann (1996). The ground truth image is the original clear image, and the actual input image is the degraded image.…”
Section: Matching Ground Truth To Detected Outputmentioning
confidence: 99%
“…For the pixel-level shape-preservation evaluation the ground truth is the original raster image on which the detection algorithms operate. To evaluate the processing capability (robustness) of image analysis algorithms on real-life, noisy images, image degradation models have been proposed by Kanungo et al (1993) and used by Haralick (1992) and Hori and Doermann (1996). The ground truth image is the original clear image, and the actual input image is the degraded image.…”
Section: Matching Ground Truth To Detected Outputmentioning
confidence: 99%
“…We use the statistical validation method proposed by Kanungo et al [9] for the validation of our noise model. The model validation procedure uses two degraded character sequences of which one is the real image sequence X = { } Step 3 Repeat Partition Repeat step 2, K number of times.…”
Section: Model Validation and Parameter Estimationmentioning
confidence: 99%
“…An alternative approach to modeling is the morphological document degradation model proposed by Kanungo et al [10]. Their model simulates both the statistically independent pixel inversion that occurs in images and the blurring caused by point spread function of the scanner optical system.…”
Section: Introductionmentioning
confidence: 99%
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“…This is usually done in an ad hoc manner by performing expensive trial and error runs to tune the running parameters of the algorithms. Recently, Kanungo e~ al [9] have proposed a physics-based model for the local distortions introduced by printing and scanning processes. We use this model to generate degraded synthetic data to characterize the performance of the detection algorithms and to automatically select their optimal running parameters.…”
Section: Introductionmentioning
confidence: 99%