Deep salient video deblurring framework using GAN

Puntos clave

• The aim is to develop a deep learning framework for effective video deblurring using GAN techniques.
• Developed a video deblurring framework utilizing Generative Adversarial Networks (GANs).
• Evaluated the framework on various video datasets to measure deblurring performance.
• Performed quantitative analyses to assess image quality improvements.
• Demonstrated significant improvement in video clarity compared to existing deblurring methods with a 20% increase in Sharpness Index.
• Achieved an average Peak Signal-to-Noise Ratio (PSNR) increase of 3 dB over traditional techniques.
• Displayed competitive performance metrics in visual quality assessment tests.