Manju Bargavi - Academia.edu (original) (raw)
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Papers by Manju Bargavi
E3S web of conferences, 2024
E3S web of conferences, 2024
International journal of innovative research in science engineering and technology/International journal of innovative research in science, engineering and technology, May 17, 2024
International journal of innovative research in science engineering and technology/International journal of innovative research in science, engineering and technology, May 17, 2024
International journal of innovative research in computer and communication engineering, May 17, 2024
Advances in marketing, customer relationship management, and e-services book series, Apr 19, 2024
Asian Journal of Basic Science & Research, 2024
E3S web of conferences, 2024
E3S web of conferences, 2024
International journal of innovative research in science engineering and technology/International journal of innovative research in science, engineering and technology, May 17, 2024
International journal of innovative research in science engineering and technology/International journal of innovative research in science, engineering and technology, May 17, 2024
International journal of innovative research in computer and communication engineering, May 17, 2024
Advances in marketing, customer relationship management, and e-services book series, Apr 19, 2024
Asian Journal of Basic Science & Research, 2024
IJIRIS:: AM Publications,India, 2024
Image restoration is an integral component of computer vision that tries to restore pictures that... more Image restoration is an integral component of computer vision that tries to restore pictures that have been deteriorated or corrupted to their original or enhanced condition. In this study, we look into the wide picture restoration techn models. There perform quite well, particularly when i rely on handcrafted filters restricts their adaptation to more complicated forms of been revolutionized by deep learning, which is led by co learning sophisticated representations of visual data. It is because of this that CNNs are able to deal with a wide variety of degradations, such as noise, blurring, artifacts, and missing data. Ge GANs, are continually pushing the limits of what is possible by utilizing adversarial training to accomplish spectacular outcomes in the areas of to overcome: Understanding limited interpretability of the the training of successful models may be quite computationally rigorous. make navigation revolutionize image processing and analysis, ultimately contributing to advancements across a wide range of scientific and technological domains. This can be concentrating on the promising research directions that are currently being pursued.