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Advanced procedures in geometry adapted wavelet coding for image processing and compression

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Author(s):
Ricardo Barroso Leite
Total Authors: 1
Document type: Doctoral Thesis
Press: Campinas, SP.
Institution: Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação
Defense date:
Examining board members:
Yuzo Iano; David Bianchini; Luiz César Martini; Luís Geraldo Pedroso Meloni; Osamu Saotome
Advisor: Yuzo Iano
Abstract

Many research areas use digital images and other multi-dimensional arrays of data which to be transmitted and stored more efficiently pass through a filtering process and compression. The isotropic wavelet transform is traditionally used and considered a fast and efficient method for compression. By adding the advantages of multi-resolution representation and location of edges, the bandelets have been considered state of the art in several image processing applications. This work presents a new method for processing and compression based on bandelet transform images. In our method, an estimation is made to reduce the search space and make the image processing asymptotically faster. The results show that a compromise can be made between image quality and computational time, which makes it a more attractive scheme for a wide range of applications. Among the areas benefited by this method are image and video transmission (digital TV and mobile devices), medical imaging and 3D modeling (AU)

FAPESP's process: 10/20866-4 - Advanced procedures in wavelet coding adapted to edge geometry for image tratament and compression in mobile devices
Grantee:Ricardo Barroso Leite
Support Opportunities: Scholarships in Brazil - Doctorate