Aug 3, 2021 · In this work, we propose a novel frequency-guided end-to-end deep neural network (FHDRNet) to conduct HDR fusion in the frequency domain, and ...
In this paper, we have proposed a frequency-guided network (FHDRNet) for high dynamic range (HDR) imaging. In the proposed method, the input LDR images are ...
Wavelet-Based Network For High Dynamic Range Imaging. This is the official code for our paper "Wavelet-Based Network For High Dynamic Range Imaging" [CVIU 2023] ...
Nov 7, 2023 · In this work, we propose a frequency-guided network (FH-. DRNet) to explicitly deal with signals of different frequency sub-bands for HDR ...
This paper proposes a novel approach to high-dynamic-range (HDR) imaging of dynamic scenes to eliminate ghosting artifacts in HDR images when in the presence of ...
In [30], the authors proposed a model that first extracts features from input images by multi-scale encoding modules and then produces an HDR image by ...
Jun 10, 2024 · Shanxin Yuan: Wavelet-based network for high dynamic range imaging. Comput. Vis. Image Underst. 238: 103881 (2024); 2021. [i2]. view. electronic ...
Wavelet-based Network for High Dynamic Range Imaging · Imaging techniques 100% · Merging 64% · Optical flows 36% · Discrete wavelet transforms 35% · Restoration 32%.
We present a new wavelet-based algorithm for encoding HDR images, so that their data are feasible in the internet-based society for image communication.
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“Wavelet-based network for high dynamic range imaging” is a paper by Tianhong Dai Wei Li Xilei Cao Jianzhuang Liu Jia Xu Aleš Leonardis Youliang Yan Shanxin ...