89 citations · 371 across the 28 of their papers we have counts for
18 papers · 1 filter
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…
HeartBEAT: Heart Beat Estimation through Adaptive Tracking
Huijie Pan, Dogancan Temel, Ghassan AlRegib
In this paper, we propose an algorithm denoted as HeartBEAT that tracks heart rate from wrist-type photoplethysmography (PPG) signals and simultaneously recorded three-axis acceler…
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
Dogancan Temel, Jinsol Lee, Ghassan AlRegib
In this paper, we introduce a large-scale, controlled, and multi-platform object recognition dataset denoted as Challenging Unreal and Real Environments for Object Recognition (CUR…
UNIQUE: Unsupervised Image Quality Estimation
D. Temel, M. Prabhushankar, G. AlRegib
In this paper, we estimate perceived image quality using sparse representations obtained from generic image databases through an unsupervised learning approach. A color space trans…
CSV: Image Quality Assessment Based on Color, Structure, and Visual System
Dogancan Temel, Ghassan AlRegib
This paper presents a full-reference image quality estimator based on color, structure, and visual system characteristics denoted as CSV. In contrast to the majority of existing me…
Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions]
Dogancan Temel, Ghassan AlRegib
Robust and reliable traffic sign detection is necessary to bring autonomous vehicles onto our roads. State-of-the-art algorithms successfully perform traffic sign detection over ex…
Perceptual Image Quality Assessment through Spectral Analysis of Error Representations
Dogancan Temel, Ghassan AlRegib
In this paper, we analyze the statistics of error signals to assess the perceived quality of images. Specifically, we focus on the magnitude spectrum of error images obtained from…