activity
20172020
most citedTraffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics

89 citations · 371 across the 28 of their papers we have counts for

collaborators
Showing eess.IVShow all

13 papers · 1 filter

eess.IV2019★ 2 cited

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…

eess.IV2018★ 11 cited

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…

eess.IV2018★ 5 cited

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…

eess.IV2018★ 22 cited

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…

eess.IV2018★ 2 cited

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…

eess.IV2018★ 3 cited

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…

eess.IV2018

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…

eess.IV2018★ 1 cited

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…

eess.IV2018★ 1 cited

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…

eess.IV2018★ 6 cited

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…

eess.IV2018★ 24 cited

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…

eess.IV2018★ 4 cited

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…

eess.IV2018★ 9 cited

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…