Image Quality Assessment Metrics Combining Structural Similarity and Image Fidelity with Visual Attention

MENDİ, Engin

Image quality assessment has a great importance in several image processing applications. Recently, various objective image quality metrics have been proposed in order to predict human visual perception. In this paper, novel image quality metrics, S-SSIM (saliency-based structural similarity index) and S-VIF (saliency-based visual information fidelity), are proposed based on a visual attention model extracting frequency-tuned salient region. Saliency maps are produced from the color and luminance features of the image. SSIM and VIF in pixel domain are modified by the weighting factors of the s ...Daha fazlası

Makale 2015 1 Görüntülenme

Decode-and-forward relaying based on orthogonal complementary codes

KIZILIRMAK, Refik Çağlar

In this note, we propose a full-duplex decode-and-forward cooperative diversity scheme based on code division with orthogonal complementary codes. We consider a simple case in which a single user is assisted by a single relay to achieve cooperative diversity. When the cooperation is full-duplex, the operational delay of the relay makes the channel asynchronous and this may cause multiple-access interference (MAI) between the user and relay. The orthogonal complementary codes have perfect autocorrelation and cross-correlation properties that provide MAI-free operation in asynchronous channels. ...Daha fazlası

Makale 2015 1 Görüntülenme

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Image Quality Assessment Metrics Combining Structural Similarity and Image Fidelity with Visual Attention

MENDİ, Engin

Decode-and-forward relaying based on orthogonal complementary codes

KIZILIRMAK, Refik Çağlar