Marco Buzzelli
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View article: Robust camera-independent color chart localization using YOLO
Robust camera-independent color chart localization using YOLO Open
Accurate color information plays a critical role in numerous computer vision tasks, with the Macbeth ColorChecker being a widely used reference target due to its colorimetrically characterized color patches. However, automating the precise…
View article: Scalable Residual Laplacian Network for HEVC-compressed Video Restoration
Scalable Residual Laplacian Network for HEVC-compressed Video Restoration Open
We present a novel Convolutional Neural Network that exploits the Laplacian decomposition technique, which is typically used in traditional image processing, to restore videos compressed with the High-Efficiency Video Coding (HEVC) algorit…
View article: Ink classification in historical documents using hyperspectral imaging and machine learning methods
Ink classification in historical documents using hyperspectral imaging and machine learning methods Open
Ink identification using only spectral reflectance information poses significant challenges due to material degradation, aging, and spectral overlap between ink classes. This study explores the use of hyperspectral imaging and machine lear…
View article: NTIRE 2024 Challenge on Night Photography Rendering
NTIRE 2024 Challenge on Night Photography Rendering Open
This paper presents a review of the NTIRE 2024 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions, and thereby produce a photo-quality outp…
View article: Convergent technologies to tackle challenges of modern food authentication
Convergent technologies to tackle challenges of modern food authentication Open
The authentication process involves all the supply chain stakeholders, and it is also adopted to verify food quality and safety. Food authentication tools are an essential part of traceability systems as they provide information on the cre…
View article: Evaluation of Binarization Methods for Hyperspectral Samples of 16th and 17th Century Family Trees
Evaluation of Binarization Methods for Hyperspectral Samples of 16th and 17th Century Family Trees Open
The purpose of this work is to present anew dataset of hyperspectral images of historical documents consisting of 66 historical family tree samples from the 16th and 17th centuries in two spectral ranges: VNIR (400-1000 nm) and SWIR (900-1…
View article: A RNN for Temporal Consistency in Low-Light Videos Enhanced by Single-Frame Methods
A RNN for Temporal Consistency in Low-Light Videos Enhanced by Single-Frame Methods Open
Low-light video enhancement (LLVE) has received little attention compared to low-light image enhancement (LLIE) mainly due to the lack of paired low-/normal-light video datasets. Consequently, a common approach to LLVE is to enhance each v…
View article: Vehicle Pose Estimation: Exploring Angular Representations
Vehicle Pose Estimation: Exploring Angular Representations Open
This paper addresses the challenge of azimuth estimation in the context of car pose estimation. Our research utilizes the PASCAL3D+ dataset, which offers a diverse range of object categories, including cars, with annotated azimuth estimati…
View article: Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models Open
In this paper, we address the problem of enhancing perceptual quality in video super-resolution (VSR) using Diffusion Models (DMs) while ensuring temporal consistency among frames. We present StableVSR, a VSR method based on DMs that can s…
View article: A General-purpose Pipeline for Realistic Synthetic Multispectral Image Dataset Generation
A General-purpose Pipeline for Realistic Synthetic Multispectral Image Dataset Generation Open
A pipeline for the generation of synthetic dataset of spectral scenes, with corresponding sensor readings, is here proposed. The pipeline is composed of two main parts: Part 1: Image pixel reflectance assignment. Individual pixels from an …
View article: Learning Color Constancy: 30 Years Later
Learning Color Constancy: 30 Years Later Open
The first paper investigating the use of machine learning to learn the relationship between an image of a scene and the color of the scene illuminant was published by Funt et al. in 1996. Specifically, they investigated if such a relations…
View article: RGB Illuminant Compensation using Spectral Super-resolution and Weighted Spectral Color Correction
RGB Illuminant Compensation using Spectral Super-resolution and Weighted Spectral Color Correction Open
This paper presents a novel approach for spectral illuminant correction in smartphone imaging systems, aiming to improve color accuracy and enhance image quality. The methods introduced include Spectral Super Resolution and Weighted Spectr…
View article: Visualizing Perceptual Differences in White Color Constancy
Visualizing Perceptual Differences in White Color Constancy Open
Algorithms for computational color constancy are usually compared in terms of the angular error between ground truth and estimated illuminant. Despite its wide adoption, there exists no well-defined consensus on acceptability and/or notice…
View article: NTIRE 2023 Challenge on Night Photography Rendering
NTIRE 2023 Challenge on Night Photography Rendering Open
This paper presents a review of the NTIRE 2023 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions conditions, and thereby produce a photo-q…
View article: Full-Reference Image Quality Expression via Genetic Programming
Full-Reference Image Quality Expression via Genetic Programming Open
Full-reference image quality measures are a fundamental tool to approximate the human visual system in various applications for digital data management: from retrieval to compression to detection of unauthorized uses. Inspired by both the …
View article: Video restoration based on deep learning: a comprehensive survey
Video restoration based on deep learning: a comprehensive survey Open
Video restoration concerns the recovery of a clean video sequence starting from its degraded version. Different video restoration tasks exist, including denoising, deblurring, super-resolution, and reduction of compression artifacts. In th…
View article: Analysis of biases in automatic white balance datasets and methods
Analysis of biases in automatic white balance datasets and methods Open
Annotated datasets for automatic white balance (AWB) are used for the evaluation and, when necessary, the training, of AWB methods. Relying on such datasets requires awareness of the potential bias in their content and characteristics: som…
View article: Angle-Retaining Chromaticity and Color Space: Invariants and Properties
Angle-Retaining Chromaticity and Color Space: Invariants and Properties Open
The angle-retaining color space (ARC) and the corresponding chromaticity diagram encode information following a cylindrical color model. Their main property is that angular distances in RGB are mapped into Euclidean distances in the ARC ch…
View article: AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results Open
This paper reviews the Challenge on Super-Resolution of Compressed Image and Video at AIM 2022. This challenge includes two tracks. Track 1 aims at the super-resolution of compressed image, and Track~2 targets the super-resolution of compr…
View article: Genetic programming for structural similarity design at multiple spatial scales
Genetic programming for structural similarity design at multiple spatial scales Open
Bakurov, I., Buzzelli, M., Castelli, M., Schettini, R., & Vanneschi, L. (2022). Genetic programming for structural similarity design at multiple spatial scales. In GECCO ’22. Proceedings of the 2022 Genetic and Evolutionary Computation Con…
View article: Video restoration based on deep learning: a comprehensive survey
Video restoration based on deep learning: a comprehensive survey Open
Video restoration concerns the recovery of a clean video sequence starting from its degraded version. Different video restoration tasks exist, including denoising, deblurring, super-resolution, and reduction of compression artifacts. In th…
View article: Fast-n-Squeeze: towards real-time spectral reconstruction from RGB images
Fast-n-Squeeze: towards real-time spectral reconstruction from RGB images Open
We present an efficient method for the reconstruction of multispectral information from RGB images, as part of the NTIRE 2022 Spectral Reconstruction Challenge. Given an input image, our method determines a global RGB-to-spectral linear tr…
View article: NTIRE 2022 Spectral Recovery Challenge and Data Set
NTIRE 2022 Spectral Recovery Challenge and Data Set Open
This paper reviews the third biennial challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. This challenge presents the ARAD 1K data set: a new, l…
View article: NTIRE 2022 Challenge on Night Photography Rendering
NTIRE 2022 Challenge on Night Photography Rendering Open
This paper reviews the NTIRE 2022 challenge on night photography rendering. The challenge solicited solutions that processed RAW camera images captured in night scenes to produce a photo-finished output image encoded in the standard RGB (s…
View article: Unified Framework for Identity and Imagined Action Recognition from EEG patterns
Unified Framework for Identity and Imagined Action Recognition from EEG patterns Open
We present a unified deep learning framework for the recognition of user identity and the recognition of imagined actions, based on electroencephalography (EEG) signals, for application as a brain-computer interface. Our solution exploits …