• Mahammed Azveer
• Mohamed Aqeeb
• Mohammed Naushad
• Salahuddin
• Nivin K.S,Daya Naik

Pixel Perfection: Refining Images with AI Precision focuses on revitalizing iconic pixel art and retro digital images from the 8-bit and 16- bit eras, which were originally limited by the hardware capabilities of early gaming systems. By utilizing modern technologies such as AI-assisted image upscaling, advanced rendering techniques, and generative design, the project enhances these classic works to align with today's high-definition digital standards. The primary objective is to preserve the nostalgic value and cultural significance of vintage pixel art while improving its visual quality, offering smoother edges, vibrant colours, and greater detail. In addition, the project explores the creative possibilities of pixel art by using AI tools to fill in missing details, upscale low- resolution images, and create new artwork inspired by retro designs. Ultimately, Pixel Revive seeks to bridge the gap between past and present, ensuring that pixel-based media retains its relevance and appeal to both nostalgic fans and new audiences. Through this, the project aims to celebrate the enduring legacy of pixel art and demonstrate the potential for traditional art forms to evolve with modern technology.

Pixel Revive, Digital images, improve visual quality, Pixel art.

"Pixel Perfection: Refining Images with AI Precision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.769-772, July-2025, Available :http://www.jetir.org/papers/JETIRGX06142.pdf

"Pixel Perfection: Refining Images with AI Precision", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp769-772, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06142.pdf