Learning Deep Convolutional Networks for Demosaicing

11 February 2018

Papers citing "Learning Deep Convolutional Networks for Demosaicing"

5 / 5 papers shown

Title
DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling L. Mei Koen Goetschalckx Arne Symons Marian Verhelst 36 28 0 10 Dec 2022
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty Jierun Chen Song Wen Shueng-Han Gary Chan 22 16 0 12 Jan 2021
INTEL-TAU: A Color Constancy Dataset Firas Laakom Jenni Raitoharju Alexandros Iosifidis Jarno Nikkanen M. Gabbouj 12 38 0 23 Oct 2019
Deep Camera: A Fully Convolutional Neural Network for Image Signal Processing Sivalogeswaran Ratnasingam 20 41 0 24 Aug 2019
Content Authentication for Neural Imaging Pipelines: End-to-end Optimization of Photo Provenance in Complex Distribution Channels Pawel Korus N. Memon 18 13 0 04 Dec 2018