• Sachin Gupta
• Preetam
• Anuj
• Gorav
• Shefalii Sharma

In the realm of image enhancement, the fusion of Convolutional Neural Networks (CNNs) and cutting-edge technology marks a pivotal juncture. This extensive research paper embarks on an illuminating expedition led by a distinguished project-based researcher with profound scientific acumen. Delving into the annals of history, it retraces the evolution of image enhancement techniques. It meticulously dissects the formidable challenges that have impeded progress, confronts existing limitations, and celebrates the groundbreaking innovations that have reshaped the field. This scholarly odyssey culminates in the presentation of ingenious solutions poised to redefine the landscape of image enhancement. Moreover, it casts a discerning eye towards the horizon, envisioning prospective optimizations that promise to elevate CNNs to uncharted heights. With an unwavering commitment to quality and precision, this research paper serves as an indispensable resource for scholars, practitioners, and visionaries navigating the intricate terrain of CNN-based image enhancement.

Image enhancement, CNN, deep learning, computer vision, innovative solutions.

"CNNs and Image Enhancement - A Trailblazing Journey through History, Challenges, Limitations, Breakthroughs, Suggesting Innovative Solutions, Possible Future Optimizations", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.e7-e13, November-2023, Available :http://www.jetir.org/papers/JETIR2311402.pdf

"CNNs and Image Enhancement - A Trailblazing Journey through History, Challenges, Limitations, Breakthroughs, Suggesting Innovative Solutions, Possible Future Optimizations", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppe7-e13, November-2023, Available at : http://www.jetir.org/papers/JETIR2311402.pdf