Real name: 
Nantheera Anantrasirichai

Congratulations!  You have been automatically subscribed to IEEE DataPort and can access all datasets on IEEE DataPort!

First Name: 
Nantheera
Last Name: 
Anantrasirichai

Datasets & Competitions

BVI-Lowlight: Fully registered datasets for low-light image and video enhancement

Low-light images and video footage often exhibit issues due to the interplay of various parameters such as aperture, shutter speed, and ISO settings. These interactions can lead to distortions, especially in extreme lighting conditions. This distortion is primarily caused by the inverse relationship between decreasing light intensity and increasing photon noise, which gets amplified with higher sensor gain. Additionally, secondary characteristics like white balance and color effects can also be adversely affected and may require post-processing correction.

Categories:
Signal Processing
Machine Learning
Image Processing
Computer Vision
2007 Views

Parasitic Egg Detection and Classification in Microscopic Images

Parasitic infections have been recognised as one of the most significant causes of illnesses by WHO. Most infected persons shed cysts or eggs in their living environment, and unwittingly cause transmission of parasites to other individuals. Diagnosis of intestinal parasites is usually based on direct examination in the laboratory, of which capacity is obviously limited.

Read more
Machine Learning
Standards Research Data
Medical Imaging
Submitted On: 
Sat, 01/22/2022 - 22:35
Last Updated On: 
Mon, 02/26/2024 - 10:24
Citation Author(s): 
Duangdao Palasuwan, Thanarat H. Chalidabhongse, Korranat Naruenatthanaset, Thananop Kobchaisawat, Kanyarat Boonpeng, Nuntiporn Nunthanasup, Nantheera Anantrasirichai

Analysis

Data Visualizations Title Post date Related Dataset
Test zip 12/13/2019 - 22:32 Encoding in the Dark Read More
Test zip 11/08/2019 - 09:52 Encoding in the Dark Read More