Tone-mapping operators (TMOs) that convert high dynamic range (HDR) to low (LDR) images provide practically useful tools for the visualization of HDR on standard LDR displays. Different TMOs create different tone-mapped images, and a natural question is which one has best quality. Without an appropriate quality measure, cannot be compared, further improvement directionless. Subjective rating may reliable evaluation method, but it expensive time consuming, more importantly, difficult embedded...

Contrast is a fundamental attribute of images that plays an important role in human visual perception image quality. With numerous approaches proposed to enhance contrast, much less work has been dedicated automatic quality assessment contrast changed images. Existing rely on global statistics estimate Here we propose novel local patch-based objective method using adaptive representation patch structure, which allows us decompose any into its mean intensity, signal strength and structure...

We propose a multi-exposure image fusion (MEF) algorithm by optimizing novel objective quality measure, namely the color MEF structural similarity (MEF-SSIM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">c</sub> ) index. The design philosophy we introduce here is substantially different from existing ones. Instead of pre-defining systematic computational structure for (e.g., multiresolution transformation and transform domain followed...

Tone mapping operators (TMOs) aim to compress high dynamic range (HDR) images low (LDR) ones so as visualize HDR on standard displays. Most existing TMOs were demonstrated specific examples without being thoroughly evaluated using well-designed and subject-validated image quality assessment models. A recently proposed tone mapped index (TMQI) made one of the first attempts objective images. Here, we propose a substantially different approach design TMO. Instead any predefined systematic...

We have created a new mobile video database that models distortions caused by network impairments. In particular, we simulate stalling events and startup delays in over-the-top (OTT) streaming videos. describe the way simulated diverse to create corpus of distorted videos human study conducted obtain subjective scores. also analyzed ratings understand impact several factors influence quality experience (QoE). To best our knowledge, ours is most comprehensive on effects QoE. are making...

Image interpolation techniques that create high-resolution images from low-resolution (LR) are widely used in real world applications, but how to evaluate the quality of interpolated is not a well-resolved issue. Subjective assessment methods useful and reliable, also slow expensive. Here, we propose an objective method assess natural image using available LR as reference. Our adopts scene statistics (NSS) framework, where degradation gauged by deviation its statistical features NSS models...

An active research topic in recent years is to design tone mapping operators (TMOs) that convert high dynamic range (H-DR) low (LDR) images, so HDR images can be visualized on standard displays. Nevertheless, most existing work has been done the absence of a well-established and subject-validated image quality assessment (IQA) model, without which fair comparisons further improvement are difficult. Recently, mapped index (TMQI) was proposed, shown have good correlation with subjective...

Network streaming video services have been growing explosively in the past decade, but how to measure and assure quality-of-experience (QoE) of end consumers is still an open problem. Poor presentation quality playback stalling identified as most dominant factors that degrade user QoE. Although both studied individually, little known about interactions between them. In this work, we first construct a database contains compressed videos at different distortion levels with patterns. We then...

There has been an increasing number of image super-resolution (SR) algorithms proposed recently to create images with higher spatial resolution from low-resolution (LR) images. Nevertheless, how evaluate the performance such SR and interpolation remains open problem. Subjective assessment methods are useful reliable, but expensive, time-consuming, difficult be embedded into design optimization procedures algorithms. Here we make one first attempts develop objective quality method a given...

The vast majority of today's internet video services are consumed over-the-top (OTT) via reliable streaming (HTTP TCP), where the primary noticeable delivery-related impairments startup delay and stalling. In this paper we introduce an objective model called delivery quality score (DQS) model, to predict user's QoE in presence such impairments. We describe a large subjective study that carried out tune validate model. Our experiments demonstrate DQS correlates highly with data it outperforms...

This paper presents a novel technique to increase the quality of medical images based on histogram equalization. In proposed method first we have applied noise reduction and then apply some suitable preprocessing after that equalization has been new histogram. Our in despite its simplicity better results compare other usual methods The resulted applying our tested database (medical images) with confirmed criterion by viewer. Also considered mathematical for comparing algorithm available...

There has been a growing interest in recent years to develop tone mapping algorithms that can convert high dynamic range (HDR) low (LDR) images, so they be visualized on standard displays. With number of proposed, natural question is which one gives the best performance. Although subjective assessment methods provide useful references, are expensive and time-consuming, difficult embedded into design stage for optimization parameter tuning purposes. This paper focuses objective operators....

Tone mapping operators (TMOs) that convert high dynamic range (HDR) images to standard low (LDR) are highly desirable for the visualization of these on displays. Although many existing TMOs produce visually appealing images, it is until recently validated objective measures can assess their quality have been proposed. Without such measures, design traditional only be based intuitive ideas, lacking clear goals further improvement. In this paper, we propose a substantially different tone...

With the fast advances in video acquisition, computational imaging, and display technologies, there has been a growing interest high dynamic range (HDR) videos. Tone mapping operators (TMOs) that convert HDR content to low (LDR) ones provide practically useful solution for visualization of videos on standard LDR displays, where user experience highly depends performance TMOs being used. Without an appropriate perceptual quality measure, different cannot be compared. Subjective experiments...

How to deliver videos consumers over the network for optimal quality-of-experience (QoE) has been central goal of modern video delivery services. Surprisingly, regardless large volume being delivered everyday through various systems attempting improve visual QoE, actual QoE end is not properly assessed, say using as key factor in making critical decisions at hosting, and receiving sites. Real-world streaming typically use bitrate main presentation quality indicator, but same encode different...

Mel-frequency cepstral coefficients (MFCC) are the most widely used features for speech recognition. However, MFCC-based recognition performance degrades in presence of additive noise. In this paper, we propose a set noise-robust based on conventional MFCC feature extraction method. Our proposed method consists two steps. first step, mel sub-band Wiener filtering is carried out. The second step estimating SNR each and calculating entropy by defining weight parameter to ratio. weighting has...

Recently, the dynamics simulation of light-harvesting complexes as an open quantum system, in weak and strong coupling regimes, has received much attention. In this paper, we investigate a digital approach Fenna-Matthews-Olson (FMO) photosynthetic pigment-protein complex surrounded with Markovian bath, i.e., memoryless, based on nuclear magnetic resonance (NMR) computer. For purpose, apply decoupling(recoupling) method, which is turn off(on) couplings also Solovay-Kitaev techniques to...

Over-the-top (OTT) video streaming services have been growing rapidly in the last decade, and thus increasing Quality-of-Experience (QoE) of end users is great interest emerging services. Although, numerous subjective studies conducted to investigate impact presentation quality playback interruptions, understanding interactions between impairment types still an open problem. In this work, we develop a dataset that contains compressed videos with different distortion levels as well stalling...

In this paper, we present a new back-end classifier for GMM-LM based language identification systems. Our proposed system consists of two main parts, mapping matrix and bank SVMs. These parts are located in series after system. The matrix, maps the models' output vectors to space which languages more separable than before. Then each SVM separates one from others. We used sequence kernel bank. show that our kernel-based SVMs separate efficiently common Gaussian mixture GLDS classifiers. Also...

The Mel-frequency cepstral coefficients (MFCC) are widely used for speech recognition. However, MFCC-based recognition performance degrades in presence of additive noise. In this paper, we propose a set noise-robust features based on conventional MFCC feature extraction method. Our proposed method consists two steps. the first step, Mel sub-band spectral subtraction is carried out. second step estimating SNR each and defining weight parameter estimation. weighting has been out way that gives...