Image hallucination with primal sketch priors
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- Type
- article
- Published
- 2003-06-18
- Cited by
- 436
- References
- 17
- OpenAlex
- https://openalex.org/W2114398647
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16372893
Keywords
Hallucinating, Prior probability, Artificial intelligence, Computer science, Computer vision
References
- ANN: library for approximate nearest neighbor searching
- Edge-directed interpolation
- New edge directed interpolation
- Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency
- Limits on super-resolution and how to break them
- Independent component filters of natural images compared with simple cells in primary visual cortex
- Detecting and localizing edges composed of steps, peaks and roofs
- Image magnification using level-set reconstruction
- Learning Low-Level Vision
- A two-step approach to hallucinating faces: global parametric model and local nonparametric model
- New edge-directed interpolation
- Image Analogies
- Probabilistic reasoning in intelligent systems: Networks of plausible inference
- Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. By David Marr
- Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
- The Complex Statistics of High-Contrast Patches in Natural Images
- Learning low-level vision
- Pattern theory: a unifying perspective
Cited by
- Hallucinating Face in the DCT Domain
- Machine Learning Based Single-Frame Super-Resolution Processing for Lensless Blood Cell Counting
- Single image super-resolution via an iterative reproducing kernel Hilbert space method
- Accuracy Improvements and Artifacts Removal in Edge Based Image Interpolation
- Learning-based super-resolution with applications to intensity and depth images
- Bayesian Dictionary Learning for Single and Coupled Feature Spaces
- Total Variation 正則化手法と事例学習法を組合せた超解像度画像の復元法
- Super Resolution Imaging Applied to Scientific Images
- Category-Epitomes : Discriminatively Minimalist Representations for Object Categories
- Algorithms for super-resolution of images and videos based on learning methods. (Algorithmes de super-résolution d'images et de vidéos basés sur des méthodes d'apprentissage)
- Texture processing for image/video coding and super-resolution applications
- Constraint-Based Interpolation
- Generalized Constrained Interpolation
- Rotation invariant multi-frame image super resolution reconstruction using Pseudo Zernike Moments
- ZIPMAPS: Zoom-Into-Parts Texture Maps
- Superresolución y reconstrucción bayesiana de imágenes a partir de imágenes de baja resolución rotadas y desplazadas. Combinación de modelos
- Photo zoom: high resolution from unordered image collections
- Locally regularized Anchored Neighborhood Regression for fast Super-Resolution
- Single Image Super Resolution
- High Resolution Local Structure-Constrained Image Upsampling
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