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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | ENHANCING IMAGE QUALITY THROUGH GAN-BASED SUPER-RESOLUTION WITH INNOVATIVE QUALITY METRICS |
| Authors Name: | Narendra Kumar D N , Anand Bhamashetti |
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IJNRD_205839
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| Published Paper Id: | IJNRD1706031 |
| Published In: | Volume 2 Issue 6, June-2017 |
| DOI: | |
| Abstract: | This "Advancing Single Image Super-Resolution (SISR) with GMGAN: Bridging the Gap in Visual Quality" In recent years, Single Image Super-Resolution (SISR) has emerged as a captivating research frontier. Remarkable progress in SISR owes its success to deep learning and the power of Generative Adversarial Networks (GANs). However, despite these advancements, the generated images still exhibit undesirable artifacts.This paper introduces a novel approach named GMGAN to tackle SISR challenges. Our method is designed with the goal of producing images that align more closely with the capabilities of the Human Visual System (HVS). To achieve this, we introduce a quality loss component by seamlessly integrating an Image Quality Assessment (IQA) metric known as Gradient Magnitude Similarity Deviation (GMSD). Notably, this represents the first instance of truly incorporating an IQA metric into the SISR framework.Furthermore, we address the stability concerns inherent in conventional GANs by adopting a variant known as WGAN-GP. Through a series of experiments, we demonstrate that GMGAN, enhanced by quality loss and WGAN-GP, delivers visually compelling results and establishes a new benchmark in the field of Single Image Super-Resolution. |
| Keywords: | ENHANCING IMAGE QUALITY THROUGH GAN-BASED SUPER-RESOLUTION WITH INNOVATIVE QUALITY METRICS |
| Cite Article: | "ENHANCING IMAGE QUALITY THROUGH GAN-BASED SUPER-RESOLUTION WITH INNOVATIVE QUALITY METRICS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.2, Issue 6, page no.192-198, June-2017, Available :http://www.ijnrd.org/papers/IJNRD1706031.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD1706031 Registration ID: 205839 Published In: Volume 2 Issue 6, June-2017 DOI (Digital Object Identifier): Page No: 192-198 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD1706031 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD1706031 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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