Image Transmorphing with JPEG

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Photometric stereo, a computer vision technique for estimating the 3D shape of objects through images captured under varying illumination conditions, has been a topic of research for nearly four decades. In its general formulation, photometric stereo is an ...

The recent rise in interest in point clouds as an imaging modality has motivated standardization groups such as JPEG and MPEG to launch activities aiming at developing compression standards for point clouds. Lossy compression usually introduces visual arti ...

The remarkable ability of deep learning (DL) models to approximate high-dimensional functions from samples has sparked a revolution across numerous scientific and industrial domains that cannot be overemphasized. In sensitive applications, the good perform ...

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The Joint Photographic Experts Group (JPEG) AI learning-based image coding system is an ongoing joint standardization effort between International Organization for Standardization (ISO), International Electrotechnical Commission (IEC), and International Te ...

Recent advances in image compression have made it both possible and desirable for image quality to approach the visually lossless range. However, the most commonly used subjective visual quality assessment protocols, e.g. those reported in ITU-T Rec. BT.50 ...

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Ultrafast ultrasound imaging, characterized by high frame rates, generates low-quality images. Convolutional neural networks (CNNs) have demonstrated great potential to enhance image quality without compromising the frame rate. However, CNNs have been most ...

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Rationale and objectives: To prospectively evaluate feasibility and robustness of an accelerated T2 mapping sequence (GRAPPATINI) in brain imaging and to assess its synthetic T2-weighted images (sT2w) in comparison with a standard T2-weighted sequence (T2 ...

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We consider the problem of compressing an information source when a correlated one is available as side information only at the decoder side, which is a special case of the distributed source coding problem in information theory. In particular, we consider ...

Image Transmorphing with JPEG

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Aggregating Spatial and Photometric Context for Photometric Stereo

Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression

Towards Trustworthy Deep Learning for Image Reconstruction

Micro modeling of irregular stone masonry walls using mathematical programming

Inverse Problems in Pulse-Echo Ultrasound: Exploiting Coherence for Image Enhancement and Quantitative Imaging

The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption

On the assessment of high-quality images: advances on the JPEG AIC-3 activity

PROBING INTRACELLULAR ELASTICITY WITH MINIMAL-HESSIAN REGISTRATION

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning

On the Performance of Subjective Visual Quality Assessment Protocols for Nearly Visually Lossless Image Compression

3D reconstruction of curvilinear one-dimensional objects viewed in transmission electron microscopy

Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation

Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models

Lausanne Historical Censuses Dataset HTR 35k

Clinical feasibility and validation of the accelerated T2 mapping sequence GRAPPATINI in brain imaging

Towards learning-based denoising of light fields

3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping

Burst Vision Using Single-Photon Cameras

VETIM: Expanding the Vocabulary of Text-to-Image Models only with Text

Neural Distributed Image Compression with Cross-Attention Feature Alignment