Enhancing object clarity in single channel night vision images using deep reinforcement learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

מידע ביבליוגרפי
Main Authors:	Hossain, Adil, Robbani, Mohammad Elham, Sazid, Md. Riaz Ul Haque, Siam, Sk. Shahiduzzaman, Abtahee, Wasiu
מחברים אחרים:	Chakrabart, Amitabha
פורמט:	Thesis
שפה:	English
יצא לאור:	Brac University 2021
נושאים:	limited dataset Deep Q learning Intelligent agent Reinforcement learning Deep Q network Single channel images Night cctv footage
גישה מקוונת:	http://hdl.handle.net/10361/15329

id	10361-15329
record_format	dspace
spelling	10361-153292022-01-26T10:13:13Z Enhancing object clarity in single channel night vision images using deep reinforcement learning Hossain, Adil Robbani, Mohammad Elham Sazid, Md. Riaz Ul Haque Siam, Sk. Shahiduzzaman Abtahee, Wasiu Chakrabart, Amitabha Department of Computer Science and Engineering, Brac University limited dataset Deep Q learning Intelligent agent Reinforcement learning Deep Q network Single channel images Night cctv footage Intelligent agent This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. Cataloged from PDF version of thesis. Includes bibliographical references (pages 45-47). There are a lot of novel approaches to image processing using Machine learning and classical image processing. But most of them take a huge dataset[like machine learning] or they are slow and ineﬃcient[like plain image processing]. Keeping this in context it was always a center of attraction to solve the problem of denoising and clarity enhancing in night vision images. As night vision images are like an asset sometimes, most of the CCTV footage is considered in this. Because if we think simply a complete footage of a CCTV has 50 percent of the recording in day time and 50 percent in night time. And just like that there is 50 percent chance of capturing any event at night. Now if we consider a crime scene which has to be extracted from the cctv footage at night time there is a huge probability of the footage to contain noise , distortion and clarity compromisation. In these scenarios identity extraction is diﬃcult. But along the progress of computation we have image processing and machine learning to develop and ﬁlter these images but we talked about the disadvantages before. To train a big dataset for extracting 1 footage is not feasible. So, we are considering a new novel approach which is also considered as state-of-the-art approach of using AI to ﬁlter a noisy night time single channel image and enhancing clarity and retain identity in it. In this work we will be facing limited resources and gradually developing those images by training an intelligent agent based on reward bias.So that after training the agent a limited resource it can predict future pixels based on it’s reward bias. Our approach on processing the images will consider deep Q learning and using a convolutional network based on Q learning. Our Aim will be to retain most of the information dealing with these limited resources using a reinforcement learning based approach built with the above stated structure. Adil Hossain Mohammad Elham Robbani Md. Riaz Ul Haque Sazid Sk. Shahiduzzaman Siam Wasiu Abtahee B. Computer Science 2021-10-18T05:38:03Z 2021-10-18T05:38:03Z 2021 2021-01 Thesis ID 16201065 ID 17101132 ID 17101292 ID 17101289 ID 20101623 http://hdl.handle.net/10361/15329 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 47 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	limited dataset Deep Q learning Intelligent agent Reinforcement learning Deep Q network Single channel images Night cctv footage Intelligent agent
spellingShingle	limited dataset Deep Q learning Intelligent agent Reinforcement learning Deep Q network Single channel images Night cctv footage Intelligent agent Hossain, Adil Robbani, Mohammad Elham Sazid, Md. Riaz Ul Haque Siam, Sk. Shahiduzzaman Abtahee, Wasiu Enhancing object clarity in single channel night vision images using deep reinforcement learning
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
author2	Chakrabart, Amitabha
author_facet	Chakrabart, Amitabha Hossain, Adil Robbani, Mohammad Elham Sazid, Md. Riaz Ul Haque Siam, Sk. Shahiduzzaman Abtahee, Wasiu
format	Thesis
author	Hossain, Adil Robbani, Mohammad Elham Sazid, Md. Riaz Ul Haque Siam, Sk. Shahiduzzaman Abtahee, Wasiu
author_sort	Hossain, Adil
title	Enhancing object clarity in single channel night vision images using deep reinforcement learning
title_short	Enhancing object clarity in single channel night vision images using deep reinforcement learning
title_full	Enhancing object clarity in single channel night vision images using deep reinforcement learning
title_fullStr	Enhancing object clarity in single channel night vision images using deep reinforcement learning
title_full_unstemmed	Enhancing object clarity in single channel night vision images using deep reinforcement learning
title_sort	enhancing object clarity in single channel night vision images using deep reinforcement learning
publisher	Brac University
publishDate	2021
url	http://hdl.handle.net/10361/15329
work_keys_str_mv	AT hossainadil enhancingobjectclarityinsinglechannelnightvisionimagesusingdeepreinforcementlearning AT robbanimohammadelham enhancingobjectclarityinsinglechannelnightvisionimagesusingdeepreinforcementlearning AT sazidmdriazulhaque enhancingobjectclarityinsinglechannelnightvisionimagesusingdeepreinforcementlearning AT siamskshahiduzzaman enhancingobjectclarityinsinglechannelnightvisionimagesusingdeepreinforcementlearning AT abtaheewasiu enhancingobjectclarityinsinglechannelnightvisionimagesusingdeepreinforcementlearning
_version_	1814307998874468352

Enhancing object clarity in single channel night vision images using deep reinforcement learning

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