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eess.IV2020
Layer Decomposition Learning Based on Gaussian Convolution Model and Residual Deblurring for Inverse Halftoning
Chang-Hwan Son
Layer decomposition to separate an input image into base and detail layers has been steadily used for image restoration. Existing residual networks based on an additive model requi…
eess.IV2019
Inverse Halftoning Through Structure-Aware Deep Convolutional Neural Networks
Chang-Hwan Son
The primary issue in inverse halftoning is removing noisy dots on flat areas and restoring image structures (e.g., lines, patterns) on textured areas. Hence, a new structure-aware…