The evaluation of visual quality of color images has become very important and challenging task due to explosion of multimedia and graphics content on internet. An image exhibits loss in color information due to introduction of noise, blur, blocking artefacts, channel distortion and also during lossy compression. The primary goal of Image Quality Metric (IQM) is to measure emergence of such dis...

In this work, we present the Text Conditioned Auxiliary Classifier Generative Adversarial Network, (TAC-GAN) a text to image Generative Adversarial Network (GAN) for synthesizing images from their text descriptions. Former approaches have tried to condition the generative process on the textual data; but allying it to the usage of class information, known to diversify the generated samples and ...

The image is a 2D signal whose pixels are highly correlated in a 2D manner. Hence, using pixel by pixel error what we called previously Mean-Square Error, (MSE) is not an efficient way to compare two similar images (e.g., an original image and a compressed version of it). Due to this correlation, image comparison needs a correlative quality measure. It is clear that correlation between two sign...

The objective video quality assessment is a quick and low cost alternative compared with the subjective evaluation. However, the objective evaluation is not as reliable, because their results are not always according to the perceived quality of the human visual system. This paper presents a new metric for objective video quality assessment, called PW-SSIM, based on the investigation of how the ...

Günümüzdeki en revaçta araştırma alanlarından birisi kullanıcılara gelişmiş çoklu-ortam servisleri sağlayabilmek adına 3 Boyutlu (3B) video Kalite Deneyimini (KD) etkin olarak tahmin eden objektif metriklerin geliştirilmesidir. Fakat, literatürde standartlaşmış ve yaygın kullanılan bir metrik henüz bulunmamaktadır. Bu yüzden, Structural SIMilarity Index (SSIM) gibi 2 (2B) kalite ölçümünde sıklı...

Two Way Shape Memory Effect (TWSME) involves thermomechanical routines which produce some plastic deformation or complex dislocation arrays during the training procedure. The results of TWSME obtained by these thermomechanical training routines are not as good as would be expected because new dislocations are generated during thermal cycling. These dislocations may interact with those that prov...

We present an efficient GPU-based method to generate virtual X-ray images from tetrahedral meshes which are associated with attenuation values. In addition, a novel approach is proposed that performs the model deformation on the GPU. The tetrahedral grids are derived from volumetric statistical shape and intensity models (SSIMs) and describe anatomical structures. Our research targets at recons...