ITH: Improved TopHat for Smear Suppression in Astronomical Images

CCD-based detectors are widely used in astronomical observations, but non-instantaneous charge transfer can cause bright lines known as smear. This phenomenon affects both normal astronomical observations and subsequent image processing. Although TopHat-based methods can suppress most smears, they also distort the original distribution of bright sources. To address this issue, we propose a two-stage desmearing method. First, an improved TopHat (ITH) filter is designed for rough smear suppression. Then, a residue search and removal channel is employed to enhance visual performance. Experimental results on actual smeared images demonstrate that our method outperforms traditional approaches.

Authors

Institutions

Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icicml63543.2024.10958138
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ITH: Improved TopHat for Smear Suppression in Astronomical Images

Yan Wang, T Zhang, Yang Xia, Zhihua Shen et al.
Image Processing Techniques and Applications
article

ITH: Improved TopHat for Smear Suppression in Astronomical Images

Yan Wang, T Zhang, Yang Xia, Zhihua Shen, Xiaohu Zhang, Siyang Chen
article en

Abstract

CCD-based detectors are widely used in astronomical observations, but non-instantaneous charge transfer can cause bright lines known as smear. This phenomenon affects both normal astronomical observations and subsequent image processing. Although TopHat-based methods can suppress most smears, they also distort the original distribution of bright sources. To address this issue, we propose a two-stage desmearing method. First, an improved TopHat (ITH) filter is designed for rough smear suppression. Then, a residue search and removal channel is employed to enhance visual performance. Experimental results on actual smeared images demonstrate that our method outperforms traditional approaches.

Sun Yat-sen University (CN)
Openalex Percentile: Top 58%
Image Processing Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.