Faster techniques to evolve wavelet coefficients for better fingerprint image compression

In this article, techniques have been presented for faster evolution of wavelet lifting coefficients for fingerprint image compression (FIC). In addition to increasing the computational speed by 81.35%, the coefficients performed much better than the reported coefficients in literature. Generally, full-size images are used for evolving wavelet coefficients, which is time consuming. To overcome this, in this work, wavelets were evolved with resized, cropped, resized-average and cropped-average images. On comparing the peak- signal-to-noise-ratios (PSNR) offered by the evolved wavelets, it was found that the cropped images excelled the resized images and is in par with the results reported till date. Wavelet lifting coefficients evolved from an average of four 256 256 centre-cropped images took less than 1/5th the evolution time reported in literature. It produced an improvement of 1.009 dB in average PSNR. Improvement in average PSNR was observed for other compression ratios (CR) and degraded images as well. The proposed technique gave better PSNR for various bit rates, with set partitioning in hierarchical trees (SPIHT) coder. These coefficients performed well with other fingerprint databases as well.

Evolution of Better Wavelet Coefficients for Fingerprint Image Compression using cropped images

This paper explains the Genetic Algorithm (GA) evolution of optimized wavelet that surpass the cdf9/7 wavelet for fingerprint compression and reconstruction. Optimized wavelets have already been evolved in previous works in the literature, but they are highly computationally complex and time consuming. Therefore, in this work, a simple approach is made to reduce the computational complexity of the evolution algorithm. A training image set comprised of three 32x32 size cropped images performed much better than the reported coefficients in literature. An average improvement of 1.0059 dB in PSNR above the classical cdf9/7 wavelet over the 80 fingerprint images was achieved. In addition, the computational speed was increased by 90.18 %. The evolved coefficients for compression ratio (CR) 16:1 yielded better average PSNR for other CRs also. Improvement in average PSNR was experienced for degraded and noisy images as well

Development of 2-D MRT based Image Compression Techniques

The thesis explores the area of still image compression. The image compression techniques can be broadly classified into lossless and lossy compression. The most common lossy compression techniques are based on Transform coding, Vector Quantization and Fractals. Transform coding is the simplest of the above and generally employs reversible transforms like, DCT, DWT, etc. Mapped Real Transform (MRT) is an evolving integer transform, based on real additions alone. The present research work aims at developing new image compression techniques based on MRT. Most of the transform coding techniques employ fixed block size image segmentation, usually 8×8. Hence, a fixed block size transform coding is implemented using MRT and the merits and demerits are analyzed for both 8×8 and 4×4 blocks. The N2 unique MRT coefficients, for each block, are computed using templates. Considering the merits and demerits of fixed block size transform coding techniques, a hybrid form of these techniques is implemented to improve the performance of compression. The performance of the hybrid coder is found to be better compared to the fixed block size coders. Thus, if the block size is made adaptive, the performance can be further improved. In adaptive block size coding, the block size may vary from the size of the image to 2×2. Hence, the computation of MRT using templates is impractical due to memory requirements. So, an adaptive transform coder based on Unique MRT (UMRT), a compact form of MRT, is implemented to get better performance in terms of PSNR and HVS The suitability of MRT in vector quantization of images is then experimented. The UMRT based Classified Vector Quantization (CVQ) is implemented subsequently. The edges in the images are identified and classified by employing a UMRT based criteria. Based on the above experiments, a new technique named “MRT based Adaptive Transform Coder with Classified Vector Quantization (MATC-CVQ)”is developed. Its performance is evaluated and compared against existing techniques. A comparison with standard JPEG & the well-known Shapiro’s Embedded Zero-tree Wavelet (EZW) is done and found that the proposed technique gives better performance for majority of images

Image compression predicated on recurrent iterated function systems

Recurrent iterated function systems (RIFSs) are improvements of iterated function systems (IFSs) using elements of the theory of Marcovian stochastic processes which can produce more natural looking images. We construct new RIFSs consisting substantially of a vertical contraction factor function and nonlinear transformations. These RIFSs are applied to image compression.

Zur Druck-Querzug-Festigkeit von Stahlbeton und stahlfaserverstärktem Stahlbeton in scheibenförmigen Bauteilen

Am Fachgebiet Massivbau (Institut für Konstruktiven Ingenieurbau – IKI) des Fachbereichs Bauingenieurwesen der Universität Kassel wurden Bauteilversuche an zweiaxial auf Druck-Zug belasteten, faserfreien und faserverstärkten Stahlbetonscheiben durchgeführt. Dabei wurden die Auswirkungen der Querzugbeanspruchung und der Rissbildung auf die Druckfestigkeit, auf die Stauchung bei Erreichen der Höchstlast sowie auf die Drucksteifigkeit des stabstahl- und faserbewehrten Betons an insgesamt 56 faserfreien und faserverstärkten Beton- und Stahlbetonscheiben untersucht. Auf der Grundlage der experimentell erhaltenen Ergebnisse wird ein Vorschlag zur Abminderung der Druckfestigkeit des gerissenen faserfreien und faserbewehrten Stahlbetons in Abhängigkeit der aufgebrachten Zugdehnung formuliert. Die Ergebnisse werden den in DIN 1045-1 [D4], Eurocode 2 [E3, E4], CEB-FIP Model Code 1990 [C1] und ACI Standard 318-05 [A1] angegebenen Bemessungsregeln für die Druckstrebenfestigkeit des gerissenen Stahlbetons gegenübergestellt und mit den Untersuchungen anderer Wissenschaftler verglichen. Die bekannten Widersprüche zwischen den Versuchsergebnissen, den vorgeschlagenen Modellen und den Regelwerken aus U.S.A., Kanada und Europa können dabei weitgehend aufgeklärt werden. Für nichtlineare Verfahren der Schnittgrößenermittlung und für Verformungsberechnungen wird ein Materialmodell des gerissenen faserfreien und faserbewehrten Stahlbetons abgeleitet. Hierzu wird die für einaxiale Beanspruchungszustände gültige Spannungs-Dehnungs-Linie nach Bild 22 der DIN 1045-1 auf den Fall der zweiaxialen Druck-Zug-Beanspruchung erweitert.

Matlab Code for Modulators

Considers Sampling, Pulse Amplitude Modulation, Multiple Access, Quantisation, Pulse Coded Modulation, Manchester Line Coding, Amplitude Modulation, Double SideBand Suppressed Carrier Modulation, Quadrature Amplitude Modulation and M-ary Shift Keying.

Matlab Code for Entropy Coding

Considers Huffman coding and arithmetic coding

eHandbook-eFolio Module Import code

Code required to perform an import of module information from eFolio and output it into a single page. Within the context of eHandbook: this page is called via an iFrame to display module information as part of the handbook (and to avoid any duplication of content).

Safety information and dress code for practical sessions

This resource is for Health Scientists

COMP1205 LEPP: BCS Code of Conduct

Notes, slides, links

¿Puedo tener un code-switching? : codeswitching en estudiantes de doctorado enseñando cursos de español lengua extranjera.

Memoria de máster (Universidad de Texas, 2010). Resumen basado en el de la publicación

Compression-based Image Registration

Image registration is an important component of image analysis used to align two or more images. In this paper, we present a new framework for image registration based on compression. The basic idea underlying our approach is the conjecture that two images are correctly registered when we can maximally compress one image given the information in the other. The contribution of this paper is twofold. First, we show that the image registration process can be dealt with from the perspective of a compression problem. Second, we demonstrate that the similarity metric, introduced by Li et al., performs well in image registration. Two different versions of the similarity metric have been used: the Kolmogorov version, computed using standard real-world compressors, and the Shannon version, calculated from an estimation of the entropy rate of the images

"Au-delà du code civil mais par le code civil". Raymond Saleilles (1855-1912) y la lucha por el derecho comparado

Raymond Saleilles (1855-1912) és considerat pels comparatistes com pare del dret comparat modern. De fet fou el màxim responsable de l'organització del primer congrés internacional de dret comparat a París el 1900. L'època marcada per la internacionalització dels intercanvis, la crisi del mètode jurídic francès i el repte de la codificació alemanya i suïssa motivà alguns juristes a buscar noves formes d'estudiar el dret. Saleilles defensava pel dret comparat un mètode, un objecte i un fi propis i autònoms diferents dels que fins ara tenien la dogmàtica jurídica o l'estudi de la legislació estrangera. El mètode tenia els seus fonaments en la sociologia i la història. L'objectiu del dret comparat havia de ser la construcció d'un ideal "droit commun de l'humanité civilisée". Aquest dret comú havia de ser construït no només per la doctrina sinó també per la jurisprudència i el legislador.

The effect of nonlinear frequency compression and linear frequency transposition on speech perception in school-aged children

The primary objective of this study is to determine whether nonlinear frequency compression and linear transposition algorithms provide speech perception benefit in school-aged children.