Cilt:62 Sayı:01 (2020)

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An Artifact Reduction Method for Block-Based Video Coding
(Ankara Üniversitesi Fen Fakültesi, 2020-06-30) Ilgın, Hakki Alparslan; Akbulut, Ahmet; Elektrik-Elektronik Mühendisliği; Fen Fakültesi
Most of the image/video coding standards are based on discrete cosine transform which is a block-based coding scheme with a disadvantage of blocking effects at low bit rates. In this paper, we propose a hybrid method which consists of downsampling/upsampling, significance map coding and local cosine transform to reduce the disadvantage of lossy compression and is also compatible with current standards. Experimental results show that performance of the proposed method is better than the conventional approaches.
Band Reduction for Target Detection in Hyperspectral Images
(Ankara Üniversitesi Fen Fakültesi, 2020-06-30) Şimşek, Murat; Ilgın, Hakkı Alparslan; Elektrik-Elektronik Mühendisliği; Mühendislik Fakültesi
Due to the high spectral resolution, hyperspectral images need large data storage and processing time. Indeed, its high dimensional structure requires high computational complexity, especially for target detection. In order to overcome these problems, band reduction methods have been proposed. In this paper, we compare PCA and SNR-based band reduction methods to improve target detection performance in hyperspectral images. Experimental results show that band reduction methods not only reduce processing time, but also increase accuracy rate.