Author: David Zhang
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Mask Pyramid Methodology for Enhanced Localization in Image Fusion and Enhancement
The proposed approach offers a generic methodology for applications in image enhancement, high dynamic range compression, depth of field extension, and image blending.
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Scene-Based Nonuniformity Correction and Enhancement: Pixel Statistics and Subpixel Motion
We propose a framework for scene-based nonuniformity correction (NUC) and nonuniformity correction and enhancement (NUCE) that is required for focal-plane array-like sensors to obtain clean and enhanced-quality images.
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Scene-Based Nonuniformity Correction Using Local Constant Statistics
Our method proposes a local-constant statistics that assumes that the temporal signal distribution is not constant at each pixel but is locally true.
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Qualitative Assessment of Video Stabilization and Mosaicing Systems
This paper suggests an evaluation methodology which would provide us the ability to qualitatively measure the performance of a given stabilized system.
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Color Enhancement in Image Fusion
We propose an innovative approach to enhance the color in image fusion. We propose a gamma correction function to the normalized color components.