This paper is published in Volume-8, Issue-2, 2022
Area
Computer Science and Applications
Author
A. Amala Shiny, Dr. B. Sivagami
Org/Univ
South Travancore Hindu College, Kottar, Tamil Nadu, India
Pub. Date
07 April, 2022
Paper ID
V8I2-1242
Publisher
Keywords
Pulmonary TB Diseases, Salt And Pepper Noise, Medical Image Processing, Impulse Noise, Microscopy Image Enhancement

Citationsacebook

IEEE
A. Amala Shiny, Dr. B. Sivagami. An analysis of noise reduction for sputum smear microscopy images, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
A. Amala Shiny, Dr. B. Sivagami (2022). An analysis of noise reduction for sputum smear microscopy images. International Journal of Advance Research, Ideas and Innovations in Technology, 8(2) www.IJARIIT.com.

MLA
A. Amala Shiny, Dr. B. Sivagami. "An analysis of noise reduction for sputum smear microscopy images." International Journal of Advance Research, Ideas and Innovations in Technology 8.2 (2022). www.IJARIIT.com.

Abstract

Sputum smear microscopy is a primary tool used for the diagnosis of pulmonary TB diseases. Due to its accessibility, minimal bio-safety standards, and cost-effectiveness, the latter is the most preferred test in low- and middle-income countries [26]. De-noising is a fundamental challenge in microscopy image processing because the images are highly corrupted by salt and pepper noise while transmitting. This paper makes a survey on five methods that can be efficiently applied in de-noising the sputum smear microscopy image processing tasks. The five de-noising methods to publish the survey are namely LCD, GPPCM, IMF, ASWMF, and SAF-RGM. The effectiveness of this survey comes along with the metrics such as Peak Signal noise, Root Mean square Error, and the Mean Structure Similarity Index. Many methods for rebuilding spotless images from noisy versions have been proposed. Both the methodology and the outcomes of these methods are dissimilar. This assessment work presents a broad study on image de-noising and suggests a number of promising future research directions.