{"id":4211,"date":"2016-07-08T08:00:28","date_gmt":"2016-07-08T10:00:28","guid":{"rendered":"http:\/\/inf.ufpel.edu.br\/site\/?p=4211"},"modified":"2016-07-08T08:00:28","modified_gmt":"2016-07-08T10:00:28","slug":"banca-de-tcc-vinicius-rodrigues-dos-santos","status":"publish","type":"post","link":"https:\/\/wp.ufpel.edu.br\/computacao\/ccomp\/banca-de-tcc-vinicius-rodrigues-dos-santos\/","title":{"rendered":"Banca de TCC: Vin\u00edcius Rodrigues dos Santos"},"content":{"rendered":"

UNIVERSIDADE FEDERAL DE PELOTAS<\/strong>
\n CENTRO DE DESENVOLVIMENTO TECNOL\u00d3GICO<\/strong>
\n TRABALHO DE CONCLUS\u00c3O DE CURSO<\/strong><\/p>\n

Apresenta\u00e7\u00f5es Finais (2016\/1)<\/p>\n

Int-DWTs Library – Algebraic Simplifications Increasing Performance and Exactitude of Discrete Wavelet Transforms
\npor
\nVin\u00edcius Rodrigues dos Santos<\/p>\n

Curso:
\nCi\u00eancia da Computa\u00e7\u00e3o<\/p>\n

Banca:
\nProfa. Renata Hax Sander Reiser (orientador)
\nProf. Maur\u00edcio Lima Pilla (co-orientador)
\nProf. Alice de Jesus Kozakevicius (co-orientador)
\nProf. Adenauer Correa Yamin
\nProfa. Aline Brum Loreto
\nProf. Marilton Sanchotene de Aguiar<\/p>\n

Data: 11 de Julho de 2016<\/p>\n

Hora: 10:00h<\/p>\n

Local: P\u00f3s 2, FAT<\/p>\n

Resumo do Trabalho:<\/p>\n

This project describes the main results consolidating the Interval Methods of the Discrete Wavelet Transforms Library (Int-DWTs), providing algebraic simplifications in order to increase performance and guarantee exactitude of Discrete Wavelet Transforms (DWTs). The methods in the Int-DWTs include interval extensions and corresponding optimizations to the Haar Wavelet Transform (HWT) and Daubechies Wavelet Transform (DWT), which are implemented by using C-XSC. Both steps in the HWT, meaning as Cascade and \u00e0 trous algorithms, are extended to the interval approach. Optimizations for the normalized formulations of the one- and two-dimensional transforms to increase speed and guarantee accuracy of results are also presented. As an application, image compression is addressed, whose quality is computed and compared by different metrics. The error analysis of the different interval formulations as well as the speedup obtained through the interval formulations and the proposed simplifications are analyzed. The results consider a study over the interval extension of DWT, deducting simplifications and implementing optimizations based on the analogous methodology performed over HWT approaches. In addition, not only interval algorithms are developed but also metrics for evaluating procedure’s accuracy are considered. By assuming concepts from Interval Mathematics, it enables us to perform interval analysis and efficiently manage of computing errors of DWTs. The metrics being used to measure result quality in the Int-DWTs are the following: Euclidean Distance, Mean Squared Error and Peak signal-to-noise ratio. In contexts that the scales of representation are relevant to the problem, the accuracy gain obtained with the proposed optimizations in the Int-DWTs represent a significant contribution to the scientific computing research area.<\/p>\n

Para mais informa\u00e7\u00f5es acesse: http:\/\/inf.ufpel.edu.br\/notcc\/doku.php?id=bancas:2016_1<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

UNIVERSIDADE FEDERAL DE PELOTAS CENTRO DE DESENVOLVIMENTO TECNOL\u00d3GICO TRABALHO DE CONCLUS\u00c3O DE CURSO Apresenta\u00e7\u00f5es Finais (2016\/1) Int-DWTs Library – Algebraic Simplifications Increasing Performance and Exactitude of Discrete Wavelet Transforms por Vin\u00edcius Rodrigues dos Santos...<\/p>\n","protected":false},"author":881,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[4,19,17],"tags":[],"class_list":["post-4211","post","type-post","status-publish","format-standard","hentry","category-ccomp","category-ecomp","category-noticia"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/paGhNl-15V","_links":{"self":[{"href":"https:\/\/wp.ufpel.edu.br\/computacao\/wp-json\/wp\/v2\/posts\/4211","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.ufpel.edu.br\/computacao\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.ufpel.edu.br\/computacao\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.ufpel.edu.br\/computacao\/wp-json\/wp\/v2\/users\/881"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.ufpel.edu.br\/computacao\/wp-json\/wp\/v2\/comments?post=4211"}],"version-history":[{"count":0,"href":"https:\/\/wp.ufpel.edu.br\/computacao\/wp-json\/wp\/v2\/posts\/4211\/revisions"}],"wp:attachment":[{"href":"https:\/\/wp.ufpel.edu.br\/computacao\/wp-json\/wp\/v2\/media?parent=4211"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.ufpel.edu.br\/computacao\/wp-json\/wp\/v2\/categories?post=4211"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.ufpel.edu.br\/computacao\/wp-json\/wp\/v2\/tags?post=4211"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}