Non-local Matching of Superpixel-based Deep Features for Color Transfer and Colorization
IPOL Journal - Image Processing On Line
by Roxane Leduc, Hernan Carrillo, Nicolas Papadakis
1w ago
In this article, we give a thorough description of the algorithm proposed in [H. Carrillo, M. Clément and A. Bugeau, Non-local matching of superpixel-based deep features for color transfer, VISAPP, 2022] for color transfer by relying on a robust non-local correspondence between low-level features at high resolution. An adaptation of this method for colorization is also described. We highlight the overall relevant results obtained with this technique for both applications and also show its limitations ..read more
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A Brief Evaluation of InSAR Phase Denoising and Coherence Estimation with Phi-Net
IPOL Journal - Image Processing On Line
by Roland Akiki, Jérémy Anger, Carlo de Franchis, Gabriele Facciolo, Raphaël Grandin, Jean-Michel Morel
3M ago
In this article, we examine the joint InSAR phase denoising and coherence estimation performance of the network known as Phi-Net [Sica et al., IEEE Transactions on Geoscience and Remote Sensing, 2021]. We briefly examine the method, network architecture, training data and strategy. Then, in the experimental section, we compare the network's performance against the simple boxcar uniform filter. We verify the observations made by the authors, in particular concerning the superior denoising performance and preservation of fine details in the coherence estimation. Our experiments also indicate tha ..read more
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Accelerating NeRF with the Visual Hull
IPOL Journal - Image Processing On Line
by Roger Marí
3M ago
Neural rendering methods for learning the appearance and geometry of 3D scenes have gained tremendous popularity since 2020. In this field, NeRF or Neural Radiance Fields is the best-known methodology. Given a collection of multi-view images and their camera models, NeRF optimizes a neural network to learn the color and scene geometry that render the input images according to classical volumetric rendering techniques. NeRF operates in a self-supervised manner and provides a remarkable level of detail, but the time-consuming optimization process remains a major limitation. This paper reviews th ..read more
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Survival Forest for Left-Truncated Right-Censored Data
IPOL Journal - Image Processing On Line
by Vincent Laurent, Olivier Vo Van
4M ago
The estimation of the lifetime of an industrial equipment or a patient is often based on censored data, because the event of interest is observed only for a subsample of observations. The use of the Random Forest algorithm applied to industrial data is relevant because the algorithm presents robust performances in many applications. Coupled with survival approaches, it can produce time trajectories for each subset of the feature space and thus differentiate observed objects with respect to their lifetimes. Our work aims to generalize the existing tree-based approach CART applied to left-trunca ..read more
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Dehazing with Dark Channel Prior: Analysis and Implementation
IPOL Journal - Image Processing On Line
by Jose-Luis Lisani, Charles Hessel
5M ago
In outdoor scenes, atmospheric absortion and scattering attenuate the radiance received by the camera and may produce haze. In 2009 He et al. proposed a simple but effective dehazing algorithm based on a hypothesis called the 'dark channel prior' (DCP). Based on this prior several other dehazing methods have been published in recent years. In this paper we review the original algorithm by He et al, together with some posterior improvements proposed by the same and other authors. We also analyze the effect of the parameters on the results and we study a variant of the method proposed by Drews e ..read more
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A Short Analysis of BigColor for Image Colorization
IPOL Journal - Image Processing On Line
by Rosana García, Gregory Randall, Lara Raad
6M ago
This work analyzes the BigColor method, a fully automatic colorization approach that aims to meet the challenge of providing realistic and vivid colorization for complex and diverse images in real-world scenarios. The method is a BigGAN-inspired encoder-generator network, using a spatial feature map, enabling single forward-pass colorization, supporting arbitrary input resolutions, and producing multimodal colorization results. We provide a short analysis of the method's results and highlight some limitations alongside its achievements. **This is an MLBriefs article, the source code has not be ..read more
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A Brief Analysis of iColoriT for Interactive Image Colorization
IPOL Journal - Image Processing On Line
by Rosana García, Gregory Randall, Lara Raad
6M ago
This paper briefly describes and analyzes iColoriT, a hybrid colorization method based on a Vision Transformer that propagates user hints to relevant regions of a grayscale image while using color priors learned from a large image dataset. This approach gives users more control over color inference and shows a quick way to achieve results. **This is an MLBriefs article, the source code has not been reviewed!**<br> **The original source code is [[available here|https://github.com/pmh9960/iColoriT]] (last checked 2024/05/16).**<br> ..read more
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A Brief Analysis of the Generic Framework for the Structured Abstraction of Images
IPOL Journal - Image Processing On Line
by Noura Faraj, Lucía Bouza, Julie Delon
6M ago
In this study, we present a simplified implementation of a versatile framework for structured image abstraction, as outlined in [Faraj et al., A Generic Framework for the Structured Abstraction of Images, International Symposium on Non-Photorealistic Animation and Rendering, 2017]. The framework relies on the topographic map, a hierarchical and geometric representation composed of all shapes of an image, organized in a tree structure. Within this framework, abstract renderings of digital photographs can be generated by iteratively applying simple local operations like replacement, removal, or ..read more
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Image Forgery Detection Based on Noise Inspection: Analysis and Refinement of the Noisesniffer Method
IPOL Journal - Image Processing On Line
by Marina Gardella, Pablo Musé, Miguel Colom, Jean-Michel Morel
7M ago
Images undergo a complex processing chain from the moment light reaches the camera's sensor until the final digital image is delivered. Each of its operations leaves traces on the noise model which enable forgery detection through noise analysis. In this article, we describe the Noisesniffer method [Gardella et al., Noisesniffer: a Fully Automatic Image Forgery Detector Based on Noise Analysis, IEEE International Workshop on Biometrics and Forensics, 2021]. This method estimates for each image a background stochastic model which makes it possible to detect local noise anomalies characterized b ..read more
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Line Segment Detection: a Review of the 2022 State of the Art
IPOL Journal - Image Processing On Line
by Thibaud Ehret, Jean-Michel Morel
9M ago
We compare nine line segment detectors. The two more ancient ones are based on classical edge growing followed by a statistically founded validation. The next six are very recent and based on supervised deep learning. These six deep learning methods train and validate their neural network on two datasets ('YorkUrban', 'Wireframe'); most of them compared their results with the now classic LSD (Line Segment Detector) and EDlines, and get a better performance than them on these datasets. The ninth paper combines deep learning and classical edge growing to achieve a purely non-supervised method. T ..read more
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