A Comprehensive Study of Preprocessing Influence on Diabetic Retinopathy Detection

K. M. Veena; Gaddala Venkata Aryan; Veena Mayya; Rashmi Naveen Raj; Sulatha V. Bhandary

doi:10.1109/DISCOVER66922.2025.11259013

A Comprehensive Study of Preprocessing Influence on Diabetic Retinopathy Detection

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Diabetic Retinopathy (DR) is a leading cause of vision loss, and early detection is crucial for treatment. This study evaluates the impact of six image preprocessing techniques on a DR detection deep learning model using ResNet-34. The six techniques used are Wiener filter, Mean filter, Histogram Equalization, CLAHE, Laplacian + CLAHE, and Laplacian + HE. Experiments on a proprietary dataset show that Wiener filter gives the best performance. The findings show the importance of image preprocessing in improving the accuracy of automated DR detection models.

Original language	English
Title of host publication	2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	283-288
Number of pages	6
ISBN (Electronic)	9798331538989
DOIs	https://doi.org/10.1109/DISCOVER66922.2025.11259013
Publication status	Published - 2025
Event	9th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Mangalore, India Duration: 17-10-2025 → 18-10-2025

Publication series

Name	2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings

Conference

Conference	9th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025
Country/Territory	India
City	Mangalore
Period	17-10-25 → 18-10-25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Electrical and Electronic Engineering

Access to Document

10.1109/DISCOVER66922.2025.11259013

Cite this

Veena, K. M., Aryan, G. V., Mayya, V., Raj, R. N., & Bhandary, S. V. (2025). A Comprehensive Study of Preprocessing Influence on Diabetic Retinopathy Detection. In 2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings (pp. 283-288). (2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DISCOVER66922.2025.11259013

Veena, K. M. ; Aryan, Gaddala Venkata ; Mayya, Veena et al. / A Comprehensive Study of Preprocessing Influence on Diabetic Retinopathy Detection. 2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2025. pp. 283-288 (2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings).

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title = "A Comprehensive Study of Preprocessing Influence on Diabetic Retinopathy Detection",

abstract = "Diabetic Retinopathy (DR) is a leading cause of vision loss, and early detection is crucial for treatment. This study evaluates the impact of six image preprocessing techniques on a DR detection deep learning model using ResNet-34. The six techniques used are Wiener filter, Mean filter, Histogram Equalization, CLAHE, Laplacian + CLAHE, and Laplacian + HE. Experiments on a proprietary dataset show that Wiener filter gives the best performance. The findings show the importance of image preprocessing in improving the accuracy of automated DR detection models.",

author = "Veena, \{K. M.\} and Aryan, \{Gaddala Venkata\} and Veena Mayya and Raj, \{Rashmi Naveen\} and Bhandary, \{Sulatha V.\}",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 9th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 ; Conference date: 17-10-2025 Through 18-10-2025",

year = "2025",

doi = "10.1109/DISCOVER66922.2025.11259013",

language = "English",

series = "2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "283--288",

booktitle = "2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings",

address = "United States",

}

Veena, KM, Aryan, GV, Mayya, V , Raj, RN & Bhandary, SV 2025, A Comprehensive Study of Preprocessing Influence on Diabetic Retinopathy Detection. in 2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings. 2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 283-288, 9th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025, Mangalore, India, 17-10-25. https://doi.org/10.1109/DISCOVER66922.2025.11259013

A Comprehensive Study of Preprocessing Influence on Diabetic Retinopathy Detection. / Veena, K. M.; Aryan, Gaddala Venkata; Mayya, Veena et al.
2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2025. p. 283-288 (2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Comprehensive Study of Preprocessing Influence on Diabetic Retinopathy Detection

AU - Veena, K. M.

AU - Aryan, Gaddala Venkata

AU - Mayya, Veena

AU - Raj, Rashmi Naveen

AU - Bhandary, Sulatha V.

PY - 2025

Y1 - 2025

N2 - Diabetic Retinopathy (DR) is a leading cause of vision loss, and early detection is crucial for treatment. This study evaluates the impact of six image preprocessing techniques on a DR detection deep learning model using ResNet-34. The six techniques used are Wiener filter, Mean filter, Histogram Equalization, CLAHE, Laplacian + CLAHE, and Laplacian + HE. Experiments on a proprietary dataset show that Wiener filter gives the best performance. The findings show the importance of image preprocessing in improving the accuracy of automated DR detection models.

AB - Diabetic Retinopathy (DR) is a leading cause of vision loss, and early detection is crucial for treatment. This study evaluates the impact of six image preprocessing techniques on a DR detection deep learning model using ResNet-34. The six techniques used are Wiener filter, Mean filter, Histogram Equalization, CLAHE, Laplacian + CLAHE, and Laplacian + HE. Experiments on a proprietary dataset show that Wiener filter gives the best performance. The findings show the importance of image preprocessing in improving the accuracy of automated DR detection models.

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UR - https://www.scopus.com/pages/publications/105030102245#tab=citedBy

U2 - 10.1109/DISCOVER66922.2025.11259013

DO - 10.1109/DISCOVER66922.2025.11259013

M3 - Conference contribution

AN - SCOPUS:105030102245

T3 - 2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings

SP - 283

EP - 288

BT - 2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025

Y2 - 17 October 2025 through 18 October 2025

ER -

Veena KM, Aryan GV, Mayya V , Raj RN , Bhandary SV. A Comprehensive Study of Preprocessing Influence on Diabetic Retinopathy Detection. In 2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2025. p. 283-288. (2025 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2025 - Proceedings). doi: 10.1109/DISCOVER66922.2025.11259013

A Comprehensive Study of Preprocessing Influence on Diabetic Retinopathy Detection

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UN SDGs

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