Resolution enhancement of monochrome and color video using motion compensation
Explore this paper's citation graph
Summary
An iterative algorithm for enhancing the resolution of monochrome and color image sequences and several different experiments using the same motion estimator but three different data fusion approaches to merge the individual motion fields were performed.
- Type
- article
- Published
- 2001-02-01
- Cited by
- 117
- References
- 24
- OpenAlex
- https://openalex.org/W2170906025
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16333626
Keywords
Motion estimation, Artificial intelligence, Computer vision, Motion field, Computer science
References
- Resolution enhancement of color video
- Improved definition video frame enhancement
- A multiple input image restoration approach
- Computational vision and regularization theory
- Multichannel image identification and restoration using the expectation-maximization algorithm
- A recursive nonstationary MAP displacement vector field estimation algorithm
- Iterative algorithm for improving the resolution of video sequences
- Motion Compensated Component Color Coding
- High-resolution image recovery from image-plane arrays, using convex projections.
- Digital restoration of multichannel images
- Resolution enhancement of color video sequences
- Resolution enhancement of video sequences using motion compensation
- A scheme for acquiring very high resolution images using multiple cameras
- Use of colour information in Bayesian estimation of 2-D motion
- Extraction of high-resolution frames from video sequences
- Vector median filters
- Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time
- A regularized iterative image restoration algorithm
- A Bayesian approach to image expansion for improved definitio
- Robust, object-based high-resolution image reconstruction from low-resolution video
Cited by
- High-resolution images from a sequence of low-resolution observations
- Image Super-Resolution, a State-of-the-Art Review and Evaluation
- A practical approach to superresolution
- Méthodes d'approximation pour la reconstruction de signaux et le redimensionnement d'images. (Approximation methods for signal reconstruction and image resizing)
- Agrandissement adapté des GOP (Group Of Pictures) en vidéo
- Estimation theoretic analysis of motion in image sequences
- Super-resolution of 3-dimensional scenes
- Colour image super-resolution using geometric grouplets
- Adaptive regularization for resolution restoration of multiframes considering subpixel contributions
- Superresolución y reconstrucción bayesiana de imágenes a partir de imágenes de baja resolución rotadas y desplazadas. Combinación de modelos
- Efficient processing of color image sequences using a color-aware instruction set on mobile systems
- Blind Super-Resolution from Multiple Undersampled Images using Sampling Diversity.
- Noise reduction in color video sequences using multichannel motion-compensated L-filter
- Video super-resolution using an adaptive superpixel-guided auto-regressive model
- Super-resolution techniques for high-resolution image reconstruction
- Regularized image up-sampling
- Multistage block-matching motion estimation for superresolution video reconstruction
- Dynamic demosaicing and color superresolution of video sequences
- Robust Color Image Superresolution: An Adaptive M-Estimation Framework
- Resolution enhancement of SAR image using the modified IBP method
Related papers
- Backward-forward motion compensated prediction
- Motion compensation using backward prediction and prediction refinement
- The motion transform: a new motion compensation technique
- Low-bit-rate video coding using an adaptive partially connected motion model
- GLOBAL MOTION ESTIMATION TECHNOLOGY BASED ON MPEG
- Motion compensation of motion vectors
- Object-oriented coding using successive motion field segmentation and estimation
- Spatio-temporal compression of the motion field in video coding
- Camera zoom/pan estimation and compensation for video compression