most citedJoint Multi-Scale Tone Mapping and Denoising for HDR Image Enhancement

18 citations · 19 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2024

A Color Image Analysis Tool to Help Users Choose a Makeup Foundation Color

Yafei Mao, Christopher Merkle, Jan P. Allebach

This paper presents an approach to predict the color of skin-with-foundation based on a no makeup selfie image and a foundation shade image. Our approach first calibrates the image…

eess.IV2023

A Visual Quality Assessment Method for Raster Images in Scanned Document

Justin Yang, Peter Bauer, Todd Harris +4

Image quality assessment (IQA) is an active research area in the field of image processing. Most prior works focus on visual quality of natural images captured by cameras. In this…

eess.IV202318 cited

Joint Multi-Scale Tone Mapping and Denoising for HDR Image Enhancement

Litao Hu, Huaijin Chen, Jan P. Allebach

An image processing unit (IPU), or image signal processor (ISP) for high dynamic range (HDR) imaging usually consists of demosaicing, white balancing, lens shading correction, colo…

cs.CV20221 cited

Training a universal instance segmentation network for live cell images of various cell types and imaging modalities

Tianqi Guo, Yin Wang, Luis Solorio +1

We share our recent findings in an attempt to train a universal segmentation network for various cell types and imaging modalities. Our method was built on the generalized U-Net ar…

eess.IV2022

Face Image Lighting Enhancement Using a 3D Model

Qiulin Chen, Jan P. Allebach

Image enhancement helps to generate balanced lighting distributions over faces. Our goal is to get an illuminance-balanced enhanced face image from a single view. Traditionally, im…