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Found 10 papers, 7 papers with code
Real-world Noisy Image Denoising: A New Benchmark
In order to promote the study on this problem while implementing the concurrent real-world image denoising datasets, we construct a new benchmark dataset which contains comprehensive real-world noisy images of different natural scenes.
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution
The semantics of the text are firstly extracted by a text recognition module as text prior information.
HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset
Secondly, we conduct more sophisticated alignment and temporal fusion in the feature space of the coarse HDR video to produce better reconstruction.
A Benchmark for Edge-Preserving Image Smoothing
This benchmark includes an image dataset with groundtruth image smoothing results as well as baseline algorithms that can generate competitive edge-preserving smoothing results for a wide range of image contents.
A Benchmark for Chinese-English Scene Text Image Super-resolution
Scene Text Image Super-resolution (STISR) aims to recover high-resolution (HR) scene text images with visually pleasant and readable text content from the given low-resolution (LR) input.
Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image Dataset
In this work, we develop, for the first time to our best knowledge, an HDR image dataset by using mobile phone cameras, namely Mobile-HDR dataset.
Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images
Considering the fact that the green channel has twice the sampling rate and better quality than the red and blue channels in CFA raw data, we propose to use this green channel prior (GCP) to build a GCP-Net for the JDD-B task.
A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping
State-of-the-art tone mapping algorithms mostly decompose an image into a base layer and a detail layer, and process them accordingly.
CameraNet: A Two-Stage Framework for Effective Camera ISP Learning
Traditional image signal processing (ISP) pipeline consists of a set of individual image processing components onboard a camera to reconstruct a high-quality sRGB image from the sensor raw data.
A Decoupled Learning Scheme for Real-world Burst Denoising from Raw Images
On one hand, most of the models are trained on video sequences with synthetic noise.
