De-Noising Diseased Plant Leaf Image

Health of the plant is of paramount concern in order to increase the agricultural productivity. Diseases contribute considerably in lowering the productivity and yield quality. Hence, it is of utmost importance to take timely and judicious steps to thwart further yield loss. The assistance of image...

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Bibliographic Details
Published in2022 2nd International Conference on Computing and Information Technology (ICCIT) pp. 130 - 137
Main Authors Kaur, Navneet, Devendran, Verma, Sahil, Kavita, Jhanjhi, NZ
Format Conference Proceeding
LanguageEnglish
Published IEEE 25.01.2022
Subjects
Agriculture
Crops
de-noising
image enhancement
Image processing
Image quality
Information technology
Noise reduction
plant leaf disease
Plants (biology)
Productivity
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DOI10.1109/ICCIT52419.2022.9711604

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Summary:Health of the plant is of paramount concern in order to increase the agricultural productivity. Diseases contribute considerably in lowering the productivity and yield quality. Hence, it is of utmost importance to take timely and judicious steps to thwart further yield loss. The assistance of image processing techniques not only saves considerable amount of time but also indirectly ramparts the crops to improve agriculture productivity. In image processing, quality of an image plays a significant role that cannot be overlooked. In this paper different de-noising techniques are presented which improve the quality of the image. The results of these de-noising techniques are presented in terms of MSE and PSNR values.
DOI:10.1109/ICCIT52419.2022.9711604