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Wavelet-based data hiding of DEM in the context of real-time 3D visualization

K. Hayat, W. Puech, G. Gesquiere, M. Chaumont, Robert F. Erbacher, Jonathan C. Roberts, Matti T. Gröhn, Katy Börner
2007 Visualization and Data Analysis 2007  
In order to obtain a three dimensional visualization it is necessary to map the images, called textures, onto the terrain geometry computed with Digital Elevation Model (DEM).  ...  The use of aerial photographs, satellite images, scanned maps and digital elevation models necessitates the setting up of strategies for the storage and visualization of these data in an interactive way  ...  In section 2 we introduce the digital elevation models and their 3D textured visualization.  ... 
doi:10.1117/12.703040 dblp:conf/vda/HayatPGC07 fatcat:6tcxu6ikxrbbvalrhigyvatez4

A multistage perceptual quality assessment for compressed digital angiogram images

J. Oh, S.I. Woolley, T.N. Arvanitis, J.N. Townend
2001 IEEE Transactions on Medical Imaging  
Index Terms-Digital angiography, human visual system, perceptual quality, wavelet compression.  ...  A pilot study of clinical experiments on wavelet-compressed digital angiogram has been performed on a sample set of angiogram images to identify diagnostically acceptable reconstruction.  ...  The wavelet transformation, which is a multiresolution decomposition with space and frequency localization properties, is orthogonal and has self-similarity across resolutions.  ... 
doi:10.1109/42.974930 pmid:11811835 fatcat:ba2g7hjr3fgztdn3j5t3nzisg4

Wavelet-Compressed Representation of Landscapes for Hydrologic and Geomorphologic Applications

Chandana Gangodagamage, Efi Foufoula-Georgiou, Steven P. Brumby, Rick Chartrand, Alexander Koltunov, Desheng Liu, Michael Cai, Susan L. Ustin
2016 IEEE Geoscience and Remote Sensing Letters  
This letter explores the use of multiresolution wavelet analysis for compression of LiDAR digital elevation data sets.  ...  The availability of high-resolution digital elevation data (submeter resolution) from LiDAR has increased dramatically over the past few years.  ...  CONCLUSION We have explored the application of wavelet compression methodologies for reducing the storage and information in high-resolution floating-point digital elevation topography available from LiDAR  ... 
doi:10.1109/lgrs.2015.2513011 fatcat:jyjiaxm7qndnzk66pjs6dg7hni

Visually lossless compression of digitized radiographs based on contrast sensitivity and visual masking

Damon M. Chandler, Nathan L. Dykes, Sheila S. Hemami, Miguel P. Eckstein, Yulei Jiang
2005 Medical Imaging 2005: Image Perception, Observer Performance, and Technology Assessment  
A visually lossless compression algorithm for digitized radiographs, which predicts the maximum contrast that wavelet subband quantization distortions can exhibit in the reconstructed image such that the  ...  with some images requiring visually lossless ratios as low as 4:1 and as great as 9:1.  ...  digitized radiographs also impose frequency-selective elevations of detection thresholds.  ... 
doi:10.1117/12.595614 fatcat:se5craug4faeli5ftrrwue65tu

A wavelet visible difference predictor

A.P. Bradley
1999 IEEE Transactions on Image Processing  
This model is largely based on a previously proposed model, but has a number of modifications that make it more amenable to potential integration into a wavelet based image compression scheme.  ...  In this paper, we describe a model of the human visual system (HVS) based on the wavelet transform.  ...  Four-level wavelet decomposition in the frequency domain. Each subband is labeled with its orientation and decomposition level, e.g., HH1 indicates a first level diagonal subband.  ... 
doi:10.1109/83.760338 pmid:18267486 fatcat:eo3cebqodrfqvbjb63nqlvuyf4

A Novel Method for Feature Extraction and Classification for an Aerial Image and LiDAR Data with Genetic Algorithm

Manjunath B. E, D. G. Anand, Mahant. G. Kattimani
2012 International Journal of Computer Science and Informatics  
Elevation Models.  ...  Aerial photos with LiDAR data were processed with genetic algorithms not only for feature extraction but also for orthographical image.  ...  Digital Elevation Models are data files that contain the elevation of the terrain over a specified area, usually at a fixed grid interval over the surface of the earth.  ... 
doi:10.47893/ijcsi.2012.1050 fatcat:qgsiasft35g3hjliwcnjmotmae

Image Quality Measure using Curvature Similarity

Susu Yao, W. Lin, Z.K Lu, E.P. Ong, M.H. Locke, S.Q. Wu
2007 2007 IEEE International Conference on Image Processing  
Taking structural similarity and error visibility into account, the new method can achieve high consistency with subjective evaluation compared with other metrics.  ...  The reference and distorted images are decomposed into a number of wavelet subbands, in which mean curvatures and perceived error of the wavelet coefficients of two images are computed and integrated to  ...  WAVELETS AND ERROR SENSITIVITY MODEL Wavelet Decomposition The wavelet transform is one of the most powerful techniques for image processing because of its similarities to the multiple channel models  ... 
doi:10.1109/icip.2007.4379340 dblp:conf/icip/YaoLLOLW07 fatcat:nkjrjxcjsnf5xav5tsgmsbrzhi

A Perceptually Optimized Wavelet Embedded Zero Tree Image Coder

A. Bajit, M. Nahid, A. Tamtaoui, E. H. Bouyakhf
2007 Zenodo  
The perceptual weights for all wavelet subbands are computed based on 1) luminance masking and Contrast masking, 2) the contrast sensitivity function CSF to achieve the perceptual decomposition weighting  ...  Thus, our coder weights the wavelet coefficients based on that model and attempts to increase the perceptual quality for a given bit rate and observation distance.  ...  This model correlates well with the famous cortical decomposition (Human Visual Cortex field). The JND thresholds are thus computed from the base detection threshold for a subband.  ... 
doi:10.5281/zenodo.1329034 fatcat:wxi3r3pofrbzxg7xz7wv6vxy4u

Robust Digital Watermarking for Compressed 3D Models based on Polygonal Representation

Samir AbouEl-Seoud, Nadine Abu Rumman, Islam A. T. F. Taj-Eddin, Khalaf F. Khatatneh, Christain Gütl
2013 International Journal of Computer Applications  
This paper introduces a methodology of robust digital watermarking based on a wellknown spherical wavelet transformation, applied to 3D compressed model based on polygonal representation using a neural  ...  The rapid growth of digital media data over the Internet, on the other hand, makes it easy for anyone to access, copy, edit and distribute digital contents such as electronic documents, images, sounds  ...  CONCLUSIONS A compression algorithm using an MLFF neural network that produces a compressed 3D model (with a compression ratio that reaches 5.5) reduces the size of the 3D model with minimum loss of details  ... 
doi:10.5120/9913-3909 fatcat:2owb5zbyyramvaflrkuozt5pxu

A New Image Psychovisual Coding Quality Measurement Based Region Of Interest

M. Nahid, A. Bajit, A. Tamtaoui, E. H. Bouyakhf
2007 Zenodo  
This model is then used to predict the visible divergences between an original and compressed image with respect to this region field and yields an adapted and local measure error by removing all peripheral  ...  To model the human visual system (HVS) in the region of interest, we propose a new objective metric evaluation adapted to wavelet foveation-based image compression quality measurement, which exploits a  ...  The complete masking function is determined from psychovisual threshold visibility of wavelet coefficients noise added to wavelet coefficients with respect to level and orientation decomposition introduced  ... 
doi:10.5281/zenodo.1077536 fatcat:xwkjtrgtc5c55kfebnme6tgifi

Joint denoising and decompression: A patch-based Bayesian approach

Javier Preciozzi, Mario Gonzalez, Andres Almansa, Pablo Muse
2017 2017 IEEE International Conference on Image Processing (ICIP)  
from satellite image pairs such as sub-pixel stereo vision and digital terrain elevation models.  ...  JPEG and Wavelet compression artifacts leading to Gibbs effects and loss of texture are well known and many restoration solutions exist in the literature.  ...  , vertical and diagonal orientations of the wavelet decomposition.  ... 
doi:10.1109/icip.2017.8296482 dblp:conf/icip/PreciozziGAM17 fatcat:2t5fumrmkfhutox4yyk2mdigva

Wavelet domain compression analysis for differential interferometric synthetic aperture radar (DInSAR) images

Rashid Hussain, Abdul Rehman Memon
2014 Maǧallaẗ al-abḥāṯ al-handasiyyaẗ  
Mother wavelet bior3.7 showed worse performance. The research investigation succeeded in providing improved compression performance of various mother wavelets for (DInSAR) images.  ...  This study elucidates the post-processing compression analysis of (DInSAR) images, using Wavelet Packets focusing on suitable selection of mother wavelets and empirical thresholding methods.  ...  ., Rafael Gonzalez and David Donoho for providing theoretical framework for wavelet in image processing. We also would like to thank Matthew R.  ... 
doi:10.7603/s40632-014-0004-1 fatcat:ule5gesjyrh4fmu4zeh3xyvbeq

Suprathreshold visual psychophysics and structure-based visual masking

Sheila S. Hemami, Damon M. Chandler, Bobbie G. Chern, Jeri Anne Moses, John G. Apostolopoulos, Amir Said
2006 Visual Communications and Image Processing 2006  
Downloaded from SPIE Digital Library on 08 Feb 2010 to 139.78.68.23.  ...  Finally, a new structure-based masking model is proposed to model masking in homogeneous natural image patches as a function of the image type: textures, edges, or structures.  ...  To generate stimuli, images were decomposed into 16 subbands using a five-level hierarchical wavelet decomposition with the 9/7 biorthogonal filters.  ... 
doi:10.1117/12.660795 fatcat:4q4wjypzcvanbgkt5vic2lwvja

Smart Analytical Signature Verification For DSP Applications

Rozita Teymourzadeh
2018 Figshare  
A handwritten signature is a 1-D Daubechies wavelet signal (db4) that utilizes Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) collectively to create a feature dataset with d-dimensional  ...  A system model is trained and evaluated using the support vector machine (SVM) classifier algorithm. Hence, an equal error rate (EER) of 8.7% and an average correct verification rate of 91.3%  ...  Signal enhancement using wavelet toolbox for wavelet preprocessing level discrete computes a single level discrete 1-D wavelet transform with respect to a particular wavelet decomposition filter.  ... 
doi:10.6084/m9.figshare.6260699.v1 fatcat:yd7kddzfdvbrlkjqismovddqki

Smart Analytical Signature Verification For DSP Applications [article]

Rozita Teymourzadeh, Martin kizito, Kok Wai Chan, Mok Vee Hoong
2018 arXiv   pre-print
A handwritten signature is a 1D Daubechies wavelet signal (db4) that utilizes Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) collectively to create a feature dataset with d-dimensional  ...  A system model is trained and evaluated using the support vector machine (SVM) classifier algorithm.  ...  Signal enhancement using wavelet toolbox for wavelet preprocessing level discrete computes a single level discrete 1-D wavelet transform with respect to a particular wavelet decomposition filter.  ... 
arXiv:1807.10384v1 fatcat:ghsemeet3jdrrfhlyoglt5wedq
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