Search Results for author: Zhetong Liang

Found 8 papers, 5 papers with code

A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution

1 code implementation17 Mar 2022 jianqi ma, Zhetong Liang, Lei Zhang

The semantics of the text are firstly extracted by a text recognition module as text prior information.

Image Super-Resolution SSIM

Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images

1 code implementation25 Jan 2021 Shi Guo, Zhetong Liang, Lei Zhang

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.

Demosaicking Denoising

CameraNet: A Two-Stage Framework for Effective Camera ISP Learning

no code implementations5 Aug 2019 Zhetong Liang, Jianrui Cai, Zisheng Cao, Lei Zhang

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.

Demosaicking Image Denoising

A Benchmark for Edge-Preserving Image Smoothing

1 code implementation2 Apr 2019 Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, Yizhou Yu

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.

image smoothing

A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping

no code implementations CVPR 2018 Zhetong Liang, Jun Xu, David Zhang, Zisheng Cao, Lei Zhang

State-of-the-art tone mapping algorithms mostly decompose an image into a base layer and a detail layer, and process them accordingly.

Tone Mapping

Real-world Noisy Image Denoising: A New Benchmark

2 code implementations7 Apr 2018 Jun Xu, Hui Li, Zhetong Liang, David Zhang, Lei Zhang

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.

Image Denoising

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