Author details
Author's Published Works
Author details
Showing 1-8 of 8 results
- Sort
Filter Results
Show
Sort By
Results
Pas-Mef: Multi-Exposure Image Fusion Based On Principal Component Analysis, Adaptive Well-Exposedness And Saliency Map
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2022 | Conference Paper |
Cited by: Papers (20)
High dynamic range (HDR) imaging enables to immortalize natural scenes similar to the way that they are perceived by human observers. With regular low dynamic range (LDR) capture/display devices, significant details may not be preserved in images due to the huge dynamic range of natural scenes. To minimize the information loss and produce high quality HDR-like images for LDR screens, this study pr...Show More
Saturated Region Recovery in Tone-Mapped HDR Images
2021 IEEE International Conference on Image Processing (ICIP)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
Tone-mapping is one of the prevailing methods to overcome high dynamic range imaging limitations over low dynamic range display devices, but the tone-mapped output image may suffer from saturated regions with texture and color information loss. In this paper, a novel approach is proposed to solve the so-called clipping problem in tone-mapped high dynamic range images. A successful saturation corre...Show More
Image Fusion Through Linear Embeddings
2021 IEEE International Conference on Image Processing (ICIP)
Year: 2021 | Conference Paper |
Cited by: Papers (3)
This paper proposes an effective technique for multi-exposure image fusion and visible-infrared image fusion problems. Multi-exposure fusion algorithms generally extract faulty weight maps when the input stack contains multiple and/or severely over-exposed images. To overcome this issue, an alternative method is developed for weight map characterization and refinement in addition to the perspectiv...Show More
Binocular Vision based Convolutional Networks
Yigit Oktar;Oguzhan Ulucan;Diclehan Karakaya;Eda Ozgu Ersoy;Mehmet Turkan
2020 28th Signal Processing and Communications Applications Conference (SIU)
Year: 2020 | Conference Paper |
It is arguable that whether the single camera captured (monocular) image datasets are sufficient enough to train and test convolutional neural networks (CNNs) for imitating the biological neural network structures of the human brain. As human visual system works in binocular, the collaboration of the eyes with the two brain lobes needs more investigation for improvements in such CNN-based visual i...Show More
A Large-Scale Dataset for Fish Segmentation and Classification
2020 Innovations in Intelligent Systems and Applications Conference (ASYU)
Year: 2020 | Conference Paper |
Cited by: Papers (41)
Assessing the quality of seafood both in retail and during packaging at the production side must be carried out minutely in order to avoid spoilage which causes severe human health problems and also economic loss. Since the illnesses and decay in seafood presents distinct symptoms in different species, primarily the classification of species is required. In this field, the inadequacy of the curren...Show More
A Comparative Study on Electronic Nose Data Analysis Tools
2020 Innovations in Intelligent Systems and Applications Conference (ASYU)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
In the last decades, the electronic nose technology has been providing considerable advantages in practical applications including food and beverage quality assessment, medical diagnosis, security systems and air monitoring. Electronic nose systems include both hardware and software components. Sensors allow the system to collect gas/odor samples and the software carries out the classification pro...Show More
A Comparative Analysis on Fruit Freshness Classification
2019 Innovations in Intelligent Systems and Applications Conference (ASYU)
Year: 2019 | Conference Paper |
Cited by: Papers (32)
Automatic classification of food freshness plays a significant role in the food industry. Food spoilage detection from production to consumption stages needs to be performed minutely. Traditional methods which detect the spoilage of food are slow, laborious, subjective and time consuming. As a result, fast and accurate automatic methods need to be introduced to industrial applications. This study ...Show More
Meat Quality Assessment based on Deep Learning
2019 Innovations in Intelligent Systems and Applications Conference (ASYU)
Year: 2019 | Conference Paper |
Cited by: Papers (5)
Under unsuitable sales conditions, red meat containing rich amount of protein might receive a negative perception from consumers. Importantly, nutrients lose their effectiveness, while at the same time the formation of harmful microorganisms becomes a threat to human health. The main purpose of this study is to keep the quality of the open department sales service offered to the consumers in the r...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.