Objective Automatic diabetic retinopathy screening system based on neural networks has
been used to detect diabetic retinopathy (DR). However, there is no quantitative synthesis of …

This paper studies the problem of blind face restoration from an unconstrained blurry, noisy,
low-resolution, or compressed image (ie, degraded observation). For better recovery of fine …

Digital Out Of Home (DOOH) applications which exploit computer vision algorithms to
automatically collect soft biometrics of people in front a smart screen are of great interest for …

Retinal image quality assessment (RIQA) is the first step performed in retinal image
processing systems necessary to assure that the processed images are suitable for analysis …

Gender is one of the most common attributes used to describe an individual. It is used in
multiple domains such as human computer interaction, marketing, security, and …

In this paper, the effect of the image resolution for gender detection and age classification
have been analyzed by conducting experiments with facial images that have 10 different …

Wavelet-based RIQA algorithms are being recently adopted for RIQA. However, existing
RIQA algorithms do not take full advantage of the wavelet transform's multiresolution …

Diabetic retinopathy (DR) is the leading cause of blindness among working-age persons in
high-income countries. A public system strategy was developed to improve screening, using …

The retail world is today highly competitive and has seen its logics completely revolutionized
by the introduction of e-commerce that have prompted a reaction from the retail market …

Geçmişte yapılan bir çalışmada, yüz bölgesine ait görüntüler kullanılarak, görüntü
çözünürlüğünün cinsiyet tespitindeki başarıma etkisi incelenmiş ve 3x2 gibi insan gözü için …