Smoothlets—Multiscale Functions for Adaptive Representation of Images
In this paper a special class of functions called smoothlets is presented. They are defined as a generalization of wedgelets and second-order wedgelets. Unlike all known geometrical methods used in adaptive image approximation, smoothlets are continuous ...
Homogeneity Localization Using Particle Filters With Application to Noise Estimation
This paper proposes a method for localizing homogeneity and estimating additive white Gaussian noise (AWGN) variance in images. The proposed method uses spatially and sparsely scattered initial seeds and utilizes particle filtering techniques to guide ...
Autocorrelation-Driven Diffusion Filtering
In this paper, we present a novel scheme for anisotropic diffusion driven by the image autocorrelation function. We show the equivalence of this scheme to a special case of iterated adaptive filtering. By determining the diffusion tensor field from an ...
Normalization of Face Illumination Based on Large-and Small-Scale Features
A face image can be represented by a combination of large-and small-scale features. It is well-known that the variations of illumination mainly affect the large-scale features (low-frequency components), and not so much the small-scale features. ...
Framelet Algorithms for De-Blurring Images Corrupted by Impulse Plus Gaussian Noise
This paper studies a problem of image restoration that observed images are contaminated by Gaussian and impulse noise. Existing methods for this problem in the literature are based on minimizing an objective functional having the l1 fidelity term and ...
Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
As a powerful statistical image modeling technique, sparse representation has been successfully used in various image restoration applications. The success of sparse representation owes to the development of the l1-norm optimization techniques and the ...
Video Alignment for Change Detection
In this work, we address the problem of aligning two video sequences. Such alignment refers to synchronization, i.e., the establishment of temporal correspondence between frames of the first and second video, followed by spatial registration of all the ...
Video Super-Resolution Using Simultaneous Motion and Intensity Calculations
In this paper, we propose an energy-based algorithm for motion-compensated video super-resolution (VSR) targeted on upscaling of standard definition (SD) video to high-definition (HD) video. Since the motion (flow field) of the image sequence is ...
Least-Squares Luma–Chroma Demultiplexing Algorithm for Bayer Demosaicking
This paper addresses the problem of interpolating missing color components at the output of a Bayer color filter array (CFA), a process known as demosaicking. A luma-chroma demultiplexing algorithm is presented in detail, using a least-squares design ...
Curvature Interpolation Method for Image Zooming
We introduce a novel image zooming algorithm, called the curvature interpolation method (CIM), which is partial-differential-equation (PDE)-based and easy to implement. In order to minimize artifacts arising in image interpolation such as image blur and ...
Compressive Sensing SAR Image Reconstruction Based on Bayesian Framework and Evolutionary Computation
Compressive sensing (CS) is a theory that one may achieve an exact signal reconstruction from sufficient CS measurements taken from a sparse signal. However, in practical applications, the transform coefficients of SAR images usually have weak sparsity. ...
VE-LLI-VO: Vessel Enhancement Using Local Line Integrals and Variational Optimization
Vessel enhancement is a primary preprocessing step for vessel segmentation and visualization of vasculatures. In this paper, a new vessel enhancement technique is proposed in order to produce accurate vesselness measures and vessel direction estimations ...
3-D Active Meshes: Fast Discrete Deformable Models for Cell Tracking in 3-D Time-Lapse Microscopy
Variational deformable models have proven over the past decades a high efficiency for segmentation and tracking in 2-D sequences. Yet, their application to 3-D time-lapse images has been hampered by discretization issues, heavy computational loads and ...
A New Design Tool for Feature Extraction in Noisy Images Based on Grayscale Hit-or-Miss Transforms
The hit-or-miss transform (HMT) is a well-known morphological transform capable of identifying features in digital images. When image features contain noise, texture, or some other distortion, the HMT may fail. Various researchers have extended the HMT ...
Interval-Valued Fuzzy Sets Applied to Stereo Matching of Color Images
Stereo matching problem attempts to find corresponding locations between pairs of displaced images of the same scene. Correspondence estimation between pixels suffers from occlusions, noise, and bias. This paper introduces a novel approach to represent ...
Multiclass Maximum-Likelihood Symmetry Determination and Motif Reconstruction of 3-D Helical Objects From Projection Images for Electron Microscopy
Many micro- to nano-scale 3-D biological objects have a helical symmetry. Cryo electron microscopy provides 2-D projection images where, however, the images have low SNR and unknown projection directions. The object is described as a helical array of ...
Hybrid Diversification Operator-Based Evolutionary Approach Towards Tomographic Image Reconstruction
The proposed algorithm introduces a new and efficient hybrid diversification operator (HDO) in the evolution cycle to improve the tomographic image reconstruction and diversity in the population by using simulated annealing (SA), and the modified form ...
A Split and Merge Based Ellipse Detector With Self-Correcting Capability
A novel ellipse detector based upon edge following is proposed in this paper. The detector models edge connectivity by line segments and exploits these line segments to construct a set of elliptical-arcs. Disconnected elliptical-arcs which describe the ...
A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI
Intensity inhomogeneity often occurs in real-world images, which presents a considerable challenge in image segmentation. The most widely used image segmentation algorithms are region-based and typically rely on the homogeneity of the image intensities ...
Saliency and Gist Features for Target Detection in Satellite Images
Reliably detecting objects in broad-area overhead or satellite images has become an increasingly pressing need, as the capabilities for image acquisition are growing rapidly. The problem is particularly difficult in the presence of large intraclass ...
Manifold Regularized Discriminative Nonnegative Matrix Factorization With Fast Gradient Descent
Nonnegative matrix factorization (NMF) has become a popular data-representation method and has been widely used in image processing and pattern-recognition problems. This is because the learned bases can be interpreted as a natural parts-based ...
Active Learning for Solving the Incomplete Data Problem in Facial Age Classification by the Furthest Nearest-Neighbor Criterion
Facial age classification is an approach to classify face images into one of several predefined age groups. One of the difficulties in applying learning techniques to the age classification problem is the large amount of labeled training data required. ...
Efficient Texture Image Retrieval Using Copulas in a Bayesian Framework
In this paper, we investigate a novel joint statistical model for subband coefficient magnitudes of the dual-tree complex wavelet transform, which is then coupled to a Bayesian framework for content-based image retrieval. The joint model allows to ...
A Kullback–Leibler Divergence Approach to Blind Image Restoration
A new algorithm for maximum-likelihood blind image restoration is presented in this paper. It is obtained by modeling the original image and the additive noise as multivariate Gaussian processes with unknown covariance matrices. The blurring process is ...