In this paper, we describe the LIA system proposed for the MediaEval 2013 Crowdsourcing for Social Multimedia task. The aim is to associate an accurate label to an image among multiple noisy labels collected from a crowdsourcing platform. In particular, the task participants have to predict two types of binary labels for each considered image. The first one mentions that an image is truly fashi...

The Steganography is used for secure communication of information by embedding information in a cover object such as text, image, audio, video without any suspicion. An adaptive image steganography utilizing image denoising algorithm by wavelet thresholding. Adaptive steganography is a spatial case of both spatial and transform technique. Moreover it is introduced as statistics aware embedding ...

Introduction: An efficient method of tomographic imaging in nuclear medicine is positron emission tomography (PET). Compared to SPECT, PET has the advantages of higher levels of sensitivity, spatial resolution and more accurate quantification. However, high noise levels in the image limit its diagnostic utility. Noise removal in nuclear medicine is traditionally based on Fourier decomposition o...

The quality of the image plays a vital role in image processing technique. It can be determined by the removal of the noisy pixels in the images. In this paper, we designed the hypergraph model for the representation of images. We use noise removal algorithm for digital images.This algorithm is based on the hypergraph model of images. This is used to detect the noisy pixels and thus can be remo...

The 2013 MediaEval Crowdsourcing task looked at the problem of working with noisy crowdsourced annotations of image data. The aim of the task was to investigate possible techniques for estimating the true labels of an image by using the set of noisy crowdsourced labels, and possibly any content and metadata from the image itself. For the runs in this paper, we’ve applied a shotgun approach and ...

In this paper, a real-time denoising filter based on modelling of stable hybrid models is presented. Thehybrid models are composed of the shearlet filter and the adaptive Wiener filter in different forms.The optimization of various models is accomplished by the genetic algorithm. Next, regarding thesignificant relationship between Optimal models and input images, changing the structure of Optim...

optical coherence tomography (oct) is a powerful imaging modality used to image various aspects of biological tissues, such as structural information, blood flow, elastic parameters, change of polarization states, and molecular content [1]. in contrast to oct technology development which has been a field of active research since 1991, oct image segmentation has only been more fully explored dur...