ISSN 2394-5125
 

Research Article 


A NOVEL APPROACH FOR SHARPENING BLUR IMAGE USING CONVOLUTIONAL NEURAL NETWORKS

R. Shiva Shankar, G Mahesh, K V S S Murthy, J Rajanikanth.

Abstract
Image sharpening is done by passing blur picture as input and obtaining the sharp one at full resolution as output. The technique of sharpening blur image has more impact on different fields such as medical imaging, forensic science and astronomy. To enhance an image by using LSTM it takes more time complexity. In order to overcome those drawbacks we proposed CNN algorithm to get better performance by using ResBlocks. The proposed model addresses two general issues: the solver and relative arguments in every scale is same and different arguments in each scale cause instability. Another issue is the input image has different resolutions and different scales. In each scale parameter tweaking is allowed and over-fit is raised to the particular image. The proposed model takes sequence of blurry images in different resolutions and down sampled at encoder as-well-as convert the given input to the feature map then generates latent sharp image at every layer and provide the final sharp image at full resolution by converting back into the original format at decoder. Thus, it reduces the time complexity and gives the stable results.

Key words: LSTM, CNN, Blurry Images, Encoder, Decoder, ResBlocks.


 
ARTICLE TOOLS
Abstract
PDF Fulltext
How to cite this articleHow to cite this article
Citation Tools
Related Records
 Articles by R. Shiva Shankar
Articles by G Mahesh
Articles by K V S S Murthy
Articles by J Rajanikanth
on Google
on Google Scholar


How to Cite this Article
Pubmed Style

R. Shiva Shankar, G Mahesh, K V S S Murthy, J Rajanikanth. A NOVEL APPROACH FOR SHARPENING BLUR IMAGE USING CONVOLUTIONAL NEURAL NETWORKS. JCR. 2020; 7(7): 139-148. doi:10.31838/jcr.07.07.22


Web Style

R. Shiva Shankar, G Mahesh, K V S S Murthy, J Rajanikanth. A NOVEL APPROACH FOR SHARPENING BLUR IMAGE USING CONVOLUTIONAL NEURAL NETWORKS. http://www.jcreview.com/?mno=105516 [Access: April 10, 2021]. doi:10.31838/jcr.07.07.22


AMA (American Medical Association) Style

R. Shiva Shankar, G Mahesh, K V S S Murthy, J Rajanikanth. A NOVEL APPROACH FOR SHARPENING BLUR IMAGE USING CONVOLUTIONAL NEURAL NETWORKS. JCR. 2020; 7(7): 139-148. doi:10.31838/jcr.07.07.22



Vancouver/ICMJE Style

R. Shiva Shankar, G Mahesh, K V S S Murthy, J Rajanikanth. A NOVEL APPROACH FOR SHARPENING BLUR IMAGE USING CONVOLUTIONAL NEURAL NETWORKS. JCR. (2020), [cited April 10, 2021]; 7(7): 139-148. doi:10.31838/jcr.07.07.22



Harvard Style

R. Shiva Shankar, G Mahesh, K V S S Murthy, J Rajanikanth (2020) A NOVEL APPROACH FOR SHARPENING BLUR IMAGE USING CONVOLUTIONAL NEURAL NETWORKS. JCR, 7 (7), 139-148. doi:10.31838/jcr.07.07.22



Turabian Style

R. Shiva Shankar, G Mahesh, K V S S Murthy, J Rajanikanth. 2020. A NOVEL APPROACH FOR SHARPENING BLUR IMAGE USING CONVOLUTIONAL NEURAL NETWORKS. Journal of Critical Reviews, 7 (7), 139-148. doi:10.31838/jcr.07.07.22



Chicago Style

R. Shiva Shankar, G Mahesh, K V S S Murthy, J Rajanikanth. "A NOVEL APPROACH FOR SHARPENING BLUR IMAGE USING CONVOLUTIONAL NEURAL NETWORKS." Journal of Critical Reviews 7 (2020), 139-148. doi:10.31838/jcr.07.07.22



MLA (The Modern Language Association) Style

R. Shiva Shankar, G Mahesh, K V S S Murthy, J Rajanikanth. "A NOVEL APPROACH FOR SHARPENING BLUR IMAGE USING CONVOLUTIONAL NEURAL NETWORKS." Journal of Critical Reviews 7.7 (2020), 139-148. Print. doi:10.31838/jcr.07.07.22



APA (American Psychological Association) Style

R. Shiva Shankar, G Mahesh, K V S S Murthy, J Rajanikanth (2020) A NOVEL APPROACH FOR SHARPENING BLUR IMAGE USING CONVOLUTIONAL NEURAL NETWORKS. Journal of Critical Reviews, 7 (7), 139-148. doi:10.31838/jcr.07.07.22