| Type of Material: | Thesis |
| Title: | Development of high quality source driven image inpainting frameworks employing conventional and generative modelling approaches |
| Researcher: | Sreelakshmy, I J |
| Guide: | Kovoor, Binsu C |
| Department: | Department of Information Technology |
| Publisher: | Cochin University of Science & Technology, Cochin |
| Place: | Cochin |
| Year: | 2023 |
| Language: | English |
| Subject: | Engineering and Technology | Image Forgery | Image Inpainting Frameworks | Information Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Information Technology, Cochin University of Science & Technology, Cochin, Cochin; 2023 |
| Fulltext: | Shodhganga |
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| 003 | IN-AhILN | |
| 005 | 2024-10-08 16:56:25 | |
| 008 | __ | 241008t2023||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_456232 |
| 040 | __ | |aCUST_682022|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aSreelakshmy, I J|eResearcher |
| 110 | __ | |aDepartment of Information Technology|bCochin University of Science & Technology, Cochin|dCochin|ein|0U-0253 |
| 245 | __ | |aDevelopment of high quality source driven image inpainting frameworks employing conventional and generative modelling approaches |
| 260 | __ | |aCochin|bCochin University of Science & Technology, Cochin|c2023 |
| 300 | __ | |axv,201|dDVD |
| 502 | __ | |cDepartment of Information Technology, Cochin University of Science & Technology, Cochin, Cochin|d2023|bPhD |
| 518 | __ | |d2024|oDate of Award |
| 518 | __ | |oDate of Registration|d2018 |
| 520 | __ | |aIn this digital era, images have become a convenient mode of communication owing to advancements in technology. Billions of images get captured and shared in a day leading to overabundance of electronic information. Editing tools play a significant role in rendering the best form of the image before unveiling to a spectrum of viewers. Image inpainting is one such powerful editing technique which witnessed a gradual evolution over the past decade. Image inpainting is a process where missing portions of an image are reconstructed in a visually pleasing manner by referring to the known regions of the image. The ability to pull out undesirable objects from an image has ushered inpainting into the fields of vintage photo restoration, film editing, satellite imagery, not to mention basic photo editing. Embracing generative models to the inpainting realm took by storm due to its unmatched capability. The thesis begins with an extensive review of the existing inpainting algorithms and those were classified in a nov |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aEngineering and Technology |
| 653 | __ | |aImage Forgery |
| 653 | __ | |aImage Inpainting Frameworks |
| 653 | __ | |aInformation Technology |
| 700 | __ | |eGuide|aKovoor, Binsu C |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/585395|yShodhganga |
| 905 | __ | |afromsg |
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