173 citations · 801 across the 47 of their papers we have counts for
19 papers · 1 filter
Texture retrieval using periodically extended and adaptive curvelets
Hasan Al-Marzouqi, Yuting Hu, Ghassan AlRegib
Image retrieval is an important problem in the area of multimedia processing. This paper presents two new curvelet-based algorithms for texture retrieval which are suitable for use…
Automated Pupillary Light Reflex Test on a Portable Platform
Dogancan Temel, Melvin J. Mathew, Ghassan AlRegib +1
In this paper, we introduce a portable eye imaging device denoted as lab-on-a-headset, which can automatically perform a swinging flashlight test. We utilized this device in a clin…
Tensor-based subspace learning for tracking salt-dome boundaries
Zhen Wang, Zhiling Long, Ghassan AlRegib
The exploration of petroleum reservoirs has a close relationship with the identification of salt domes. To efficiently interpret salt-dome structures, in this paper, we propose a m…
A Machine Learning Benchmark for Facies Classification
Yazeed Alaudah, Patrycja Michalowicz, Motaz Alfarraj +1
The recent interest in using deep learning for seismic interpretation tasks, such as facies classification, has been facing a significant obstacle, namely the absence of large publ…
Completed Local Derivative Pattern for Rotation Invariant Texture Classification
Yuting Hu, Zhiling Long, Ghassan AlRegib
In this paper, we propose a new texture descriptor, completed local derivative pattern (CLDP). In contrast to completed local binary pattern (CLBP), which involves only local diffe…
Scale Selective Extended Local Binary Pattern for Texture Classification
Yuting Hu, Zhiling Long, Ghassan AlRegib
In this paper, we propose a new texture descriptor, scale selective extended local binary pattern (SSELBP), to characterize texture images with scale variations. We first utilize m…
Fault Detection Using Color Blending and Color Transformations
Zhen Wang, Dogancan Temel, Ghassan AlRegib
In the field of seismic interpretation, univariate databased maps are commonly used by interpreters, especially for fault detection. In these maps, contrast between target regions…
Image Quality Assessment and Color Difference
Dogancan Temel, Ghassan AlRegib
An average healthy person does not perceive the world in just black and white. Moreover, the perceived world is not composed of pixels and through vision humans perceive structures…
MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation
Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
In this paper, we train independent linear decoder models to estimate the perceived quality of images. More specifically, we calculate the responses of individual non-overlapping i…
Generating Adaptive and Robust Filter Sets Using an Unsupervised Learning Framework
Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
In this paper, we introduce an adaptive unsupervised learning framework, which utilizes natural images to train filter sets. The applicability of these filter sets is demonstrated…
A Comparative Study of Quality and Content-Based Spatial Pooling Strategies in Image Quality Assessment
Dogancan Temel, Ghassan AlRegib
The process of quantifying image quality consists of engineering the quality features and pooling these features to obtain a value or a map. There has been a significant research i…
Coding of 3D Videos Based on Visual Discomfort
Dogancan Temel, Ghassan AlRegib
We propose a rate-distortion optimization method for 3D videos based on visual discomfort estimation. We calculate visual discomfort in the encoded depth maps using two indexes: te…
Effectiveness of 3VQM in Capturing Depth Inconsistencies
Dogancan Temel, Ghassan AlRegib
The 3D video quality metric (3VQM) was proposed to evaluate the temporal and spatial variation of the depth errors for the depth values that would lead to inconsistencies between l…
Boosting in Image Quality Assessment
Dogancan Temel, Ghassan AlRegib
In this paper, we analyze the effect of boosting in image quality assessment through multi-method fusion. Existing multi-method studies focus on proposing a single quality estimato…
A Comparative Study of Computational Aesthetics
Dogancan Temel, Ghassan AlRegib
Objective metrics model image quality by quantifying image degradations or estimating perceived image quality. However, image quality metrics do not model what makes an image more…
PerSIM: Multi-resolution Image Quality Assessment in the Perceptually Uniform Color Domain
Dogancan Temel, Ghassan AlRegib
An average observer perceives the world in color instead of black and white. Moreover, the visual system focuses on structures and segments instead of individual pixels. Based on t…
BLeSS: Bio-inspired Low-level Spatiochromatic Similarity Assisted Image Quality Assessment
Dogancan Temel, Ghassan AlRegib
This paper proposes a biologically-inspired low-level spatiochromatic-model-based similarity method (BLeSS) to assist full-reference image-quality estimators that originally oversi…
ReSIFT: Reliability-Weighted SIFT-based Image Quality Assessment
Dogancan Temel, Ghassan AlRegib
This paper presents a full-reference image quality estimator based on SIFT descriptor matching over reliability-weighted feature maps. Reliability assignment includes a smoothing o…
Content-adaptive non-parametric texture similarity measure
Motaz Alfarraj, Yazeed Alaudah, Ghassan AlRegib
In this paper, we introduce a non-parametric texture similarity measure based on the singular value decomposition of the curvelet coefficients followed by a content-based truncatio…