Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/43760
Title: On Using and Improving Gradient Domain Processing for Image Enhancement
Authors: DENG FANBO
Keywords: Gradient Domain, Image Enhancement, Historical Document, Compression Artifact, Color Shift
Issue Date: 15-Mar-2013
Source: DENG FANBO (2013-03-15). On Using and Improving Gradient Domain Processing for Image Enhancement. ScholarBank@NUS Repository.
Abstract: Gradient domain image processing is a type of image manipulation that directly processes the derivatives of an image (i.e. gradient) instead of its pixel values. This involves a two step procedure where the image gradients are first processed in a task-specific manner based on the desired enhancement, followed by a reconstruction step that estimates the new pixels values from the modified gradient field. Since its adoption nearly a decade ago, there has been several successful examples of using gradient domain processing for image enhancement tasks ranging from texture transfer, gradient boosting to saliency sharpening and data fusion. This dissertation continues this trend of gradient domain image enhancement and offers three contributions in this area.
URI: http://scholarbank.nus.edu.sg/handle/10635/43760
Appears in Collections:Ph.D Theses (Open)

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