Tone Mapping

35 papers with code • 0 benchmarks • 1 datasets

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Most implemented papers

Unprocessing Images for Learned Raw Denoising

google-research/google-research CVPR 2019

Machine learning techniques work best when the data used for training resembles the data used for evaluation.

A Two-stage Deep Network for High Dynamic Range Image Reconstruction

sharif-apu/twostageHDR_NTIRE21 19 Apr 2021

Notably, our proposed method aims to reconstruct an HDR image without knowing hardware information, including camera response function (CRF) and exposure settings.

Dirty Pixels: Towards End-to-End Image Processing and Perception

princeton-computational-imaging/DirtyPixels 23 Jan 2017

As such, conventional imaging involves processing the RAW sensor measurements in a sequential pipeline of steps, such as demosaicking, denoising, deblurring, tone-mapping and compression.

ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content

dmarnerides/hdr-expandnet 6 Mar 2018

This paper presents a method for generating HDR content from LDR content based on deep Convolutional Neural Networks (CNNs) termed ExpandNet.

Deep Recursive HDRI: Inverse Tone Mapping using Generative Adversarial Networks

Siyeong-Lee/Deep_Recursive_HDRI ECCV 2018

Because most images have a low dynamic range, recovering the lost dynamic range from a single low dynamic range image is still prevalent.

Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications

sooyekim/Deep-SR-ITM ICCV 2019

Joint SR and ITM is an intricate task, where high frequency details must be restored for SR, jointly with the local contrast, for ITM.

Side Window Filtering

wang-kangkang/SideWindowFilter-pytorch CVPR 2019

In addition to image filtering, we further show that the SWF principle can be extended to other applications involving the use of a local window.

JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video

JihyongOh/JSI-GAN 10 Sep 2019

Joint learning of super-resolution (SR) and inverse tone-mapping (ITM) has been explored recently, to convert legacy low resolution (LR) standard dynamic range (SDR) videos to high resolution (HR) high dynamic range (HDR) videos for the growing need of UHD HDR TV/broadcasting applications.

Image Demoireing with Learnable Bandpass Filters

zhenngbolun/Learnbale_Bandpass_Filter CVPR 2020

Image demoireing is a multi-faceted image restoration task involving both texture and color restoration.

STAR: A Structure-Aware Lightweight Transformer for Real-Time Image Enhancement

zzyfd/STAR-pytorch ICCV 2021

STAR is a general architecture that can be easily adapted to different image enhancement tasks.