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eess.IV2024
Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs
Yuxin Xie, Li Yu, Farhad Pakdaman +1
Noisy images are a challenge to image compression algorithms due to the inherent difficulty of compressing noise. As noise cannot easily be discerned from image details, such as hi…
eess.IV2024★ 7 cited
Panoramic Image Inpainting With Gated Convolution And Contextual Reconstruction Loss
Li Yu, Yanjun Gao, Farhad Pakdaman +1
Deep learning-based methods have demonstrated encouraging results in tackling the task of panoramic image inpainting. However, it is challenging for existing methods to distinguish…