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Found 10 papers, 4 papers with code
Channel-wise Feature Decorrelation for Enhanced Learned Image Compression
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.
Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs
Noisy images are a challenge to image compression algorithms due to the inherent difficulty of compressing noise.
Panoramic Image Inpainting With Gated Convolution And Contextual Reconstruction Loss
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.
Pixel-Wise Color Constancy via Smoothness Techniques in Multi-Illuminant Scenes
Motivated by this, we propose a novel multi-illuminant color constancy method, by learning pixel-wise illumination maps caused by multiple light sources.
Perceptual Learned Image Compression via End-to-End JND-Based Optimization
Emerging Learned image Compression (LC) achieves significant improvements in coding efficiency by end-to-end training of neural networks for compression.
Efficient Bitrate Ladder Construction using Transfer Learning and Spatio-Temporal Features
Providing high-quality video with efficient bitrate is a main challenge in video industry.
MAMIQA: No-Reference Image Quality Assessment Based on Multiscale Attention Mechanism With Natural Scene Statistics
No-Reference Image Quality Assessment aims to evaluate the perceptual quality of an image, according to human perception.
BL-JUNIPER: A CNN-Assisted Framework for Perceptual Video Coding Leveraging Block-Level JND
However, existing JND-based solutions estimate JND levels for each video frame and ignore the fact that different video regions have different perceptual importance.
BLINC: Lightweight Bimodal Learning for Low-Complexity VVC Intra Coding
The latest video coding standard, Versatile Video Coding (VVC), achieves almost twice coding efficiency compared to its predecessor, the High Efficiency Video Coding (HEVC).
Complexity Analysis Of Next-Generation VVC Encoding and Decoding
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
