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This book addresses digital document enhancement and restoration in these settings. Topics covered include the language and working definitions of the field, current industry practices, the document image class, logicbased image processing within that setting, and algorithms for performing enhancement and restoration of digital documents. Statistical optimization of nonlinear algorithms is treated in considerable depth. Simple idealized examples as well as difficult realistic problems are used extensively throughout the text to illustrate concepts and techniques, and to demonstrate the effectiveness of the methods.Contents: Fundamentals of Digital Document Enhancement and Restoration Resolution Conversion and Enhancement Technologies TranslationInvariant Binary Operators Optimal MeanAbsoluteError Nonincreasing Binary Filters Spatial Resolution Conversion and Enhancement Using Nonincreasing Operators Quantization Range Conversion Using Nonincreasing Filters Optimal MeanAbsoluteError Increasing Binary Filters Restoration by Increasing Binary Filters Spatial Resolution Conversion Using Paried Increasing Operators Application of Computational Morphology to Quantization Range Conversion
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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