no code implementations • 16 Mar 2024 • Farhad Pakdaman, Moncef Gabbouj
The emerging Learned Compression (LC) replaces the traditional codec modules with Deep Neural Networks (DNN), which are trained end-to-end for rate-distortion performance.
no code implementations • 8 Feb 2024 • Yuxin Xie, Li Yu, Farhad Pakdaman, Moncef Gabbouj
Noisy images are a challenge to image compression algorithms due to the inherent difficulty of compressing noise.
no code implementations • 5 Feb 2024 • Li Yu, Yanjun Gao, Farhad Pakdaman, Moncef Gabbouj
In response to these challenges, we propose a panoramic image inpainting framework that consists of a Face Generator, a Cube Generator, a side branch, and two discriminators.
no code implementations • 5 Feb 2024 • Umut Cem Entok, Firas Laakom, Farhad Pakdaman, Moncef Gabbouj
Motivated by this, we propose a novel multi-illuminant color constancy method, by learning pixel-wise illumination maps caused by multiple light sources.
no code implementations • 5 Feb 2024 • Farhad Pakdaman, Sanaz Nami, Moncef Gabbouj
Emerging Learned image Compression (LC) achieves significant improvements in coding efficiency by end-to-end training of neural networks for compression.
1 code implementation • 6 Jan 2024 • Ali Falahati, Mohammad Karim Safavi, Ardavan Elahi, Farhad Pakdaman, Moncef Gabbouj
Providing high-quality video with efficient bitrate is a main challenge in video industry.
1 code implementation • IEEE Signal Processing Letters 2023 • Li Yu, Junyang Li, Farhad Pakdaman, Miaogen Ling, Moncef Gabbouj
No-Reference Image Quality Assessment aims to evaluate the perceptual quality of an image, according to human perception.
1 code implementation • IEEE Transactions on Multimedia 2022 • Sanaz Nami, Farhad Pakdaman, Mahmoud Reza Hashemi, Shervin Shirmohammadi
However, existing JND-based solutions estimate JND levels for each video frame and ignore the fact that different video regions have different perceptual importance.
no code implementations • 19 Jan 2022 • Farhad Pakdaman, Mohammad Ali Adelimanesh, Mahmoud Reza Hashemi
The latest video coding standard, Versatile Video Coding (VVC), achieves almost twice coding efficiency compared to its predecessor, the High Efficiency Video Coding (HEVC).
1 code implementation • 21 May 2020 • Farhad Pakdaman, Mohammad Ali Adelimanesh, Moncef Gabbouj, Mahmoud Reza Hashemi
While the next generation video compression standard, Versatile Video Coding (VVC), provides a superior compression efficiency, its computational complexity dramatically increases.
Multimedia Computational Complexity Image and Video Processing