{"title":"Robust multi-bit watermarking for HDR images in the Radon-DCT domain","authors":"E. Maiorana, Vasileis Solachidis, P. Campisi","doi":"10.1109/ISPA.2013.6703754","DOIUrl":"https://doi.org/10.1109/ISPA.2013.6703754","url":null,"abstract":"High Dynamic Range (HDR) imaging is rapidly emerging as an innovative approach for digitally representing and reproducing real scenes with a wide range of intensity levels, which can be hardly managed by current standard methods for image capture and display. In order to protect the intellectual property of HDR images, a novel blind multi-bit watermarking method exploiting both their peculiar characteristics and the properties of the Radon-Discrete Cosine Transform (RDCT) for the embedding process, is here proposed. The performed experimental tests demonstrate the possibility of marking HDR images without significantly altering their perceptual characteristics, while guaranteeing the recovery of the embedded information even from Low Dynamic Range (LDR) images obtained through the application of different tone-mapping operators (TMOs).","PeriodicalId":425029,"journal":{"name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131904086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aziz Kubilay Ovacikli, Patrik Pääjärvi, J. LeBlanc
{"title":"Skewness as an objective function for vibration analysis of rolling element bearings","authors":"Aziz Kubilay Ovacikli, Patrik Pääjärvi, J. LeBlanc","doi":"10.1109/ISPA.2013.6703785","DOIUrl":"https://doi.org/10.1109/ISPA.2013.6703785","url":null,"abstract":"The scale invariant third order moment, skewness, is analysed as an objective function to an adaptive gradient ascent algorithm. The purpose is to achieve a spectrum at the filter output that can enable identification of possible bearing defect signatures which are impulsive and periodic. Harmonically related sinusoids are used to represent such signatures and to build a signal model allowing characterization of the objective surface of skewness, providing insight to its convergent behaviour. The results are supported with an experiment from an industry setting. Robustness of the proposed algorithm is demonstrated by examining the frequency spectrum resulting from the signal model.","PeriodicalId":425029,"journal":{"name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131962841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ayush Kumar, Nimisha Agarwal, Juhi Bhadviya, G. Mittal, G. Ramponi
{"title":"An efficient new edge preserving technique for removal of salt and pepper noise","authors":"Ayush Kumar, Nimisha Agarwal, Juhi Bhadviya, G. Mittal, G. Ramponi","doi":"10.1109/ISPA.2013.6703707","DOIUrl":"https://doi.org/10.1109/ISPA.2013.6703707","url":null,"abstract":"This paper proposes an efficient procedure for removal of salt and pepper noises from the noisy images on the basis of their local edge preserving filters. This algorithm consists of two major stages. In the first stage, the maximum and minimum pixel value in the the corrupted image is used to select noisy pixels or noise free pixels and then in second stage, local edge preserving filters are used on the basis of noisy pixel detected and the nature of its neighboring pixels in the selected window. Comparing the obtained results with other computationally simple noise removal techniques, our proposed algorithm gives much better qualitative and quantitative performance. Due to its simplicity and low computational cost, our method is suitable for its application in many real time situations.","PeriodicalId":425029,"journal":{"name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131365676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Morphological PDEs on graphs for filtering and inpainting of point clouds","authors":"F. Lozes, A. Elmoataz, O. Lézoray","doi":"10.1109/ISPA.2013.6703800","DOIUrl":"https://doi.org/10.1109/ISPA.2013.6703800","url":null,"abstract":"In this paper, we propose an adaptation of morphological Partial Differential Equations (PDEs) on graphs using the framework of Partial difference Equations (PdEs). This enables to define adaptive morphological operators on graphs. We then show how these operators can be used for interpolation and filtering of raw point clouds. To enable a patch-based processing of point clouds, we also show how a weighted graph based on patches can be associated with a point cloud. Finally, we present applications in cultural heritage1.","PeriodicalId":425029,"journal":{"name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133323905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An efficient implementation of the kernel affine projection algorithm","authors":"F. Albu, D. Coltuc, M. Rotaru, K. Nishikawa","doi":"10.1109/ISPA.2013.6703765","DOIUrl":"https://doi.org/10.1109/ISPA.2013.6703765","url":null,"abstract":"In this paper an efficient kernel affine projection algorithm using dichotomous coordinate descent iterations is proposed. The effectiveness of the proposed algorithm for nonlinear system identification and forward prediction is confirmed by computer simulations.","PeriodicalId":425029,"journal":{"name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129316131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identification of Hammerstein model using cubic splines and FIR filtering","authors":"M. Gasparini, L. Romoli, S. Cecchi, F. Piazza","doi":"10.1109/ISPA.2013.6703766","DOIUrl":"https://doi.org/10.1109/ISPA.2013.6703766","url":null,"abstract":"Nonlinear models are exploited in the field of digital audio systems for modelling most of real-world devices that show a nonlinear behaviour. Among nonlinear models, Hammerstein systems are realized through a static nonlinearity cascaded with a linear filter. In this paper, the Hammerstein coefficients are estimated using an adaptive Catmull-Rom cubic spline for the static nonlinearity and an adaptive FIR filter for the dynamic linear system also introducing a preprocessing for the time delay estimation. Experimental results confirm the effectiveness of the proposed approach, making also comparisons with existing techniques of the state of the art.","PeriodicalId":425029,"journal":{"name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115257795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marco Centir, P. Fragneto, D. Denaro, B. Rossi, Claudio Marchisio
{"title":"A combined color-correlation visual model for object tracking using particle filters","authors":"Marco Centir, P. Fragneto, D. Denaro, B. Rossi, Claudio Marchisio","doi":"10.1109/ISPA.2013.6703731","DOIUrl":"https://doi.org/10.1109/ISPA.2013.6703731","url":null,"abstract":"In this paper we consider the problem of tracking semi-rigid objects in video sequences using particle filters, with a particular focus on hand tracking applications. Although many different feature descriptors have been developed, none of them alone is good enough to deal with this complex tracking scenarios. Approaches which use a statistical representation of the target tend to fail in presence of visually similar objects, while holistic representations are usually very sensible to motion blur, object deformations and rotations. We present here a visual model which combines color histograms and the MOSSE Correlation Filter. The fusion of two complementary features creates a robust descriptor of the target which is capable of tracking fast moving objects in complex tracking applications with real-time performances, using a low number of particles.","PeriodicalId":425029,"journal":{"name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123432106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Bassiou, Constantine Kotropoulos, Evangelia Koliopoulou
{"title":"Symmetric α-stable sparse linear regression for musical audio denoising","authors":"N. Bassiou, Constantine Kotropoulos, Evangelia Koliopoulou","doi":"10.1109/ISPA.2013.6703771","DOIUrl":"https://doi.org/10.1109/ISPA.2013.6703771","url":null,"abstract":"A new musical audio denoising technique is proposed, when the noise is modeled by an α-stable distribution. The proposed technique is based on sparse linear regression with structured priors and uses Markov Chain Monte Carlo inference to estimate the clean signal model parameters and the α-stable noise model parameters. Experiments on noisy Greek folk music excerpts demonstrate better denoising for the α-stable noise assumption than the Gaussian white noise one.","PeriodicalId":425029,"journal":{"name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120993969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Color rendering in high dynamic range images","authors":"G. Guarnieri, S. Marsi","doi":"10.1109/ISPA.2013.6703710","DOIUrl":"https://doi.org/10.1109/ISPA.2013.6703710","url":null,"abstract":"If a photograph is reproduced “faithfully”, i.e. preserving the relative colorimetric values of the original scene, the resulting image will often look less colorful and less contrasted than the original scene due to some mechanisms of the human visual system. Film and digital cameras must compensate these effects in order to obtain visually pleasing images, which reproduce the appearance of the original scene. This problem occurs also in high dynamic range (HDR) photography, and tone mapped images may appear slightly hazy if the aforementioned visual effects are not compensated. In this paper we shall briefly recall the technique used by most cameras (both film-based and digital) and show one possible theoretical motivation based on a model of brightness perception. We shall then propose a simple technique which compensates the loss of colorfulness and contrast in tone mapped images, and show in particular how this technique can be combined with a tone mapping operator we recently proposed. Finally, we shall compare the results with those produced by a related method.","PeriodicalId":425029,"journal":{"name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"700 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128806486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Learning computationally efficient approximations of complex image segmentation metrics","authors":"M. Minervini, Cristian Rusu, S. Tsaftaris","doi":"10.1109/ISPA.2013.6703715","DOIUrl":"https://doi.org/10.1109/ISPA.2013.6703715","url":null,"abstract":"Image segmentation metrics have been extensively used in the literature to compare segmentation algorithms among each other, or relative to a ground-truth segmentation. Some metrics are easy to compute (e.g., Dice, Jaccard), others are more accurate (e.g., the Hausdorff distance) and may reflect local topology, but they are computationally demanding. While certain attempts have been made to create computationally efficient implementations of such complex metrics, in this paper we approach this problem from a radically different viewpoint. We construct approximations of a complex metric (e.g., the Hausdorff distance), combining a small number of computationally lightweight metrics in a linear regression model. We also consider feature selection, using sparsity inducing strategies, to restrict the number of metrics employed significantly, without penalizing the predictive power of the model. We demonstrate our methodology with image data from plant phenotyping experiments. We find that a linear model can effectively approximate the Hausdorff distance using even a few features. Our approach can find many applications, but is largely expected to benefit distributed sensing scenarios where the sensor has low computational capacity, whereas centralized processing units have higher computational capabilities.","PeriodicalId":425029,"journal":{"name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125264769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}