Aalto University Jun 2010 - Dec 2010
Nokia-Fulbright Distinguished Chair In Communications and Informations Technologies
University of Delaware Jun 2010 - Dec 2010
Charles Evans Professor of Electrical and Computer Engineering; Jpmorgan Chase Scholar; Nokia-Fulbright Distinguished Ch
Education:
Purdue University
Doctorates, Doctor of Philosophy, Computer Engineering
Skills:
Signal Processing Matlab Algorithms Machine Learning Higher Education Teaching Research Image Processing Latex C
Interests:
Massive Data Analysis Imaging Technology Statistical Learning Mountain Cycling Tennis
Gonzalo R. Arce - Wilmington DE Daniel L. Lau - Newark DE
Assignee:
University of Delaware - Newark DE
International Classification:
H04N 140
US Classification:
358 319, 358 313
Abstract:
A method and apparatus for producing halftone images which utilizes the advantageous stochastic patterning of dots found in frequency-modulated, blue-noise masks, and avoids the problem of dot gain provided in amplitude-modulated masks. Here a green-noise spectrum is used to generate a dither mask and the halftone patterns for each gray-level are subjected to the stacking constraint. The filters used in building the green-noise masks comprise filters using the conventional blue-noise mask for a coarseness parameter Mâ(g)=1 and filters having a principle frequency f less than the principle frequency of blue-noise f when coarseness parameter Mâ(g) 1. Unlike blue-noise dither patterns, green-noise dither patterns comprise pixel clusters, making them less susceptible to image degradation from dot gain, generating dot-profiles that are visually pleasing to the human eye.
Systems And Methods For Etching Digital Watermarks
Liehua Xie - Herndon VA Arianne Michelle Lewis - Chestnut Hill MA Evert Basch - Stow MA Gonzalo Arce - Wilmington DE
Assignee:
Verizon Laboratories Inc. - Waltham MA
International Classification:
G06K 900
US Classification:
382100, 713176, 713179
Abstract:
A system ( ) for watermarking digital data includes a watermark etching subsystem ( ) and a watermark extraction subsystem ( ). The watermark etching subsystem ( ) obtains a matrix of digital data values, selects windows including a plurality of data values from the matrix, specifies a parameter that indicates an acceptable amount of variation in the data values, and etches watermark bits in each window of data values using the specified parameter. The watermark extraction subsystem ( ) obtains a matrix of digital data values containing an etched watermark, selects windows comprising a plurality of data values from the matrix, and extracts watermark bits from each window of data values using the specified parameter.
Watermarking Methods For Digital Images And Videos
Charles Boncelet, Jr. - Newark DE Gonzalo R. Arce - Wilmington DE
Assignee:
University of Delaware - Newark DE
International Classification:
G06K 900
US Classification:
382100, 713176, 382240
Abstract:
The present invention relates to multiresolution watermarking methods for digital images which are based on a discrete wavelet transform (DWT). Pseudo-random codes are added to the large coefficients located at the high and middle frequency bands of the DWT of a digital image. A peak is detected to signify a signature of the watermark. The methods taught herein are more robust then conventional methods for common image distortions, such as the wavelet transform based image compression, additive noise, image halftoning, and image resealing. Moreover, the method is hierarchal. The computational load needed to detect the watermark depends on the noise level in an image. The multiresolution and hierarchial watermarking method taught by the present invention results in lower computational loads, on average, while providing a high quality watermark which is utilizable with modern image/video compression standards.
Message Authentication Code Using Image Histograms
Liehua Xie - Newark DE Arianne M. Lewis - Chestnut Hill MA Evert Basch - Stow MA Gonzalo Arce - Wilmington DE
Assignee:
Verizon Laboratories Inc. - Waltham MA
International Classification:
G06K 900
US Classification:
382100, 382168, 380210
Abstract:
According to the principles of the invention, there is provided a system for generating a message authentication code for a conventional digital video stream. The system operates on the rows and columns of block data for a video stream, and more specifically on histograms of DC coefficients from each row and column, to produce a compact code that is nonetheless descriptive of the underlying images in the video stream. The message authentication code can be reproduced from the images of a received video stream, and if desired, compared with a digital watermark embedded in the video stream in order to confirm the accuracy of the video content or identify the source of the video stream.
Message Authentication Code With Improved Error Tolerance
Liehua Xie - Newark DE Arianne M. Lewis - Chestnut Hill MA Evert Basch - Stow MA Gonzalo Arce - Wilmington DE
Assignee:
Verizon Laboratories Inc. - Waltham MA
International Classification:
G06K 900
US Classification:
382100, 382232, 713176, 380 54
Abstract:
A method of generating a authentication code (âMACâ) with improved error tolerance exhibits improved survivability against acceptable signal distortions such as recompression. A method of generating a message authentication code associated with an image includes receiving blocks of image coefficient data where each coefficient has an original value falling within a range of values. The range of values is divided into first and second regions both having allowed coefficient values, and an error tolerance buffer region formed between the first and second regions having disallowed coefficient values. The original values of DC coefficients from each block of the image coefficient data is mapped to a modified value contained in one of the first and second regions, but not contained in the error tolerance buffer region. A MAC is generated as a function of the most significant bits of the modified image coefficient values.
Method Of Non-Linear Analysis Of Biological Sequence Data
Karen Marie Bloch - Wilmington DE Gonzalo Ramiro Arce - Wilmington DE
Assignee:
E. I. du Pont de Nemours and Company - Wilmington DE
International Classification:
G06F 1900
US Classification:
702 20, 702 27, 702 30
Abstract:
A method of classifying biological elements into functional families includes the steps of representing a characteristic numerically, performing a time-frequency transform on the numeric representation, and identifying biological elements of a common functional family by clusters of data having a common frequency characteristic in the time-frequency domain. Biologically active regions on those biological elements are identified by an amplitude analysis of the clusters.
Cesar L. Nino - Newark DE, US Gonzalo R. Arce - Newark DE, US
Assignee:
University of Delaware - Newark DE
International Classification:
H04N 1/52 H04N 1/60
US Classification:
358 19, 358504, 358534
Abstract:
A method for modeling color halftones that reduces both the number of parameters and the number of measurements needed to characterize an inkjet color printer. The method is based on the eigenanalysis of sample reflectance data and a probabilistic analysis that considers light scattering on the paper substrate as a breakage process governed by a log-normal distribution. The method estimates the reflectance of a print color by characterizing colors as a multiplicative composition of primary color reflectances rather than as an additive mixture of primary and secondary color reflectances as suggested by the theory of Neugebaeur.
Bijection Mapping For Compression/Denoising Of Multi-Frame Images
Leonard E. Russo - Nashua NH, US Jose L. Paredes - Edo Merida, VE Gonzalo R. Arce - Newark DE, US
Assignee:
BAE Systems Information And Electric Systems Integration Inc. - Nashua NH
International Classification:
G06K 9/46 G06K 9/00
US Classification:
382240
Abstract:
A new approach to multispectral image compression where the intra- and cross-band correlations are jointly exploited in a surprisingly simple yet very effective manner. The key component of the algorithm is a bijection mapping of the original multispectral image into a virtual 2 dimensional scalar image. By optimally mapping the multispectral image set into a single 2 dimensional array and by subsequently applying a scalar image coding algorithm, the spatial correlation and the spectral correlation of the multispectral data set are jointly exploited. Based on the statistical characteristics of the multispectral data, the bijection mapping can be optimized to minimize the distortion introduced by the compression algorithm. The optimization reduces to the maximization of a function of the second-order statistics of the multispectral data. At high compression rates, the new algorithm outperforms traditional compression algorithms whenever the cross-band correlation is high and it yields comparable performance at low compression rates.
Isbn (Books And Publications)
Nonlinear Signal Processing: a Statistical Approach