A Novel Deep Learning Approach for Speckle Denoising Using Hyperparameter Tuning

JOIG leads with cutting-edge research in image, video, and graphics technology - your gateway to innovations enhancing daily life and shaping a smart future. Peer-reviewed articles, published quarterly, illuminate the path to tomorrow's solutions.

Authors

Publication Details

Journal
Journal of Image and Graphics
Published
2025-01-01
DOI
https://doi.org/10.18178/joig.13.3.267-274
Primary Topic
Optical Coherence Tomography Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Deep Learning Approach for Speckle Denoising Using Hyperparameter Tuning

Nilima Patil
Journal of Image and Graphics
Optical Coherence Tomography Applications
article

A Novel Deep Learning Approach for Speckle Denoising Using Hyperparameter Tuning

Nilima Patil
article en

Abstract

JOIG leads with cutting-edge research in image, video, and graphics technology - your gateway to innovations enhancing daily life and shaping a smart future. Peer-reviewed articles, published quarterly, illuminate the path to tomorrow's solutions.

Journal of Image and Graphics
Climate action
Openalex Percentile: Top 87%
Optical Coherence Tomography 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.

A Novel Deep Learning Approach for Speckle Denoising Using Hyperparameter Tuning — Nilima Patil · Journal of Image and Graphics (2025) | TGRS Research Map | TGRS