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Reproduction de : Thèse de doctorat : Signal, image, acoustique et optimisation : Toulouse, INPT : 2008. / Titre provenant de l'écran-titre. Bibliogr. 87 réf.

Made available in DSpace on 2014-06-11T19:22:33Z (GMT). No. of bitstreams: 0 Previous issue date: 2008-06-25Bitstream added on 2014-06-13T18:49:33Z : No. of bitstreams: 1 silva_jf_me_ilha.pdf: 1508098 bytes, checksum: a71768d52f587fb0eddda6d0c43e13e9 (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Neste trabalho é apresentado um sistema interativo para o processamento e armazenamento de imagens no domínio wavelet e uma interface para processamento de imagens digitais. A proposta apresentada baseia-se na transformada wavelet e em métodos de limiar. O sistema de armazenamento tem como objetivo a otimização do espaço computacional, tanto para armazenamento como para transmissão de imagens. Sendo para isso necessário a aplicação da Transformada Wavelet nas respectivas imagens e dos diversos métodos de limiar a serem escolhidos. Estas aplicações permitem extrair informações relevantes para o armazenamento de uma imagem com um menor custo computacional e com uma margem de erro muito pequena quando se compara as imagens, original e processada, ou seja, não há perda de qualidade ao aplicar o sistema de codificação apresentado. Os resultados obtidos a partir das informações extraídas das imagens são apresentados numa interface gráfica. É através da interface gráfica que o usuário usa os arquivos para visualizar e analisar os resultados dos programas diretamente na tela do computador sem a preocupação de lidar com os códigos fontes. A interface gráfica, os programas de processamento de imagens via Transformada Wavelet e os métodos de limiar foram desenvolvidos no ambiente do MATLAB, possibilitando uma troca direta de informações entre eles e o usuário. / In this work an interactive system processing and storage of compressed images in the wavelet domain, and an interface for digital image processing are presented. The storage method proposed is based on the wavelet transform and a threshold method. It has the objective of optimizing the computational space, for storage and for transmission of images. It is necessary first a pre-processing routine and after, the characterization through the application of the wavelet transform to the respective images and the several threshold methods to be chosen. These applications allow the extraction of relevant information for an image compression or storage image with a smaller computational cost and with a very small of error when the original and processed images are compared, in other words, there is no quality loss when applying the codification system presented. The results obtained from the extracted information of the images are presented in a graphic interface for image processing. The graphic interface, the programs for image processing using the wavelet transform and the thresholding methods were developed in a MATLAB environment, making possible a direct change of information between them and the user, without the concern of working with source codes. Through this graphic interface the user can use files which permits him visualize and analyze the results of the programs in the computer screen.

Orientador: Francisco Villarreal Alvarado / Banca: Jozué Vieira Filho / Banca: Pedro Henrique Cox / Resumo: Neste trabalho é apresentado um sistema interativo para o processamento e armazenamento de imagens no domínio wavelet e uma interface para processamento de imagens digitais. A proposta apresentada baseia-se na transformada wavelet e em métodos de limiar. O sistema de armazenamento tem como objetivo a otimização do espaço computacional, tanto para armazenamento como para transmissão de imagens. Sendo para isso necessário a aplicação da Transformada Wavelet nas respectivas imagens e dos diversos métodos de limiar a serem escolhidos. Estas aplicações permitem extrair informações relevantes para o armazenamento de uma imagem com um menor custo computacional e com uma margem de erro muito pequena quando se compara as imagens, original e processada, ou seja, não há perda de qualidade ao aplicar o sistema de codificação apresentado. Os resultados obtidos a partir das informações extraídas das imagens são apresentados numa interface gráfica. É através da interface gráfica que o usuário usa os arquivos para visualizar e analisar os resultados dos programas diretamente na tela do computador sem a preocupação de lidar com os códigos fontes. A interface gráfica, os programas de processamento de imagens via Transformada Wavelet e os métodos de limiar foram desenvolvidos no ambiente do MATLAB, possibilitando uma troca direta de informações entre eles e o usuário. / Abstract: In this work an interactive system processing and storage of compressed images in the wavelet domain, and an interface for digital image processing are presented. The storage method proposed is based on the wavelet transform and a threshold method. It has the objective of optimizing the computational space, for storage and for transmission of images. It is necessary first a pre-processing routine and after, the characterization through the application of the wavelet transform to the respective images and the several threshold methods to be chosen. These applications allow the extraction of relevant information for an image compression or storage image with a smaller computational cost and with a very small of error when the original and processed images are compared, in other words, there is no quality loss when applying the codification system presented. The results obtained from the extracted information of the images are presented in a graphic interface for image processing. The graphic interface, the programs for image processing using the wavelet transform and the thresholding methods were developed in a MATLAB environment, making possible a direct change of information between them and the user, without the concern of working with source codes. Through this graphic interface the user can use files which permits him visualize and analyze the results of the programs in the computer screen. / Mestre

This habilitation thesis is first devoted to applications related to image representation and coding. If the image and video coding community has been traditionally focused on coding standardization processes, advanced services and functionalities have been designed in particular to match content delivery system requirements. In this sense, the complete transmission chain of encoded images has now to be considered. To characterize the ability of any communication network to insure end-to-end quality, the notion of Quality of Service (QoS) has been introduced. First defined by the ITU-T as the set of technologies aiming at the degree of satisfaction of a user of the service, QoS is rather now restricted to solutions designed for monitoring and improving network performance parameters. However, end users are usually not bothered by pure technical performances but are more concerned about their ability to experience the desired content. In fact, QoS addresses network quality issues and provides indicators such as jittering, bandwidth, loss rate... An emerging research area is then focused on the notion of Quality of Experience (QoE, also abbreviated as QoX), that describes the quality perceived by end users. Within this context, QoE faces the challenge of predicting the behaviour of any end users. When considering encoded images, many technical solutions can considerably enhance the end user experience, both in terms of services and functionalities, as well as in terms of final image quality. Ensuring the effective transport of data, maintaining security while obtaining the desired end quality remain key issues for video coding and streaming. First parts of my work are then to be seen within this joint QoS/QoE context. From efficient coding frameworks, additional generic functionalities and services such as scalability, advanced entropy coders, content protection, error resilience, image quality enhancement have been proposed. Related to advanced QoE services, such as Region of Interest definition of object tracking and recognition, we further closely studied pseudo-semantic representation. First designed toward coding purposes, these representations aim at exploiting textural spatial redundancies at region level. Indeed, research, for the past 30 years, provided numerous decorrelation tools that reduce the amount of redundancies across both spatial and temporal dimensions in image sequences. To this day, the classical video compression paradigm locally splits the images into blocks of pixels, and processes the temporal axis on a frame by frame basis, without any obvious continuity. Despite very high compression performances such as AVC and forthcoming HEVC standards , one may still advocate the use of alternative approaches. Disruptive solutions have also been proposed, and offer notably the ability to continuously process the temporal axis. However, they often rely on complex tools (\emph{e.g.} Wavelets, control grids) whose use is rather delicate in practice. We then investigate the viability of alternative representations that embed features of both classical and disruptive approaches. The objective is to exhibit the temporal persistence of the textural information, through a time-continuous description. At last, from this pseudo-semantic level of representation, texture tracking system up to object tracking can be designed. From this technical solution, 3D object tracking is a logical outcome, in particular when considering vision robotic issues.

Made available in DSpace on 2015-04-11T14:03:06Z (GMT). No. of bitstreams: 1 Ursula Vasconcelos Abecassis.pdf: 1502428 bytes, checksum: 7ea813452788d8456776e20fe3c9ff1c (MD5) Previous issue date: 2006-01-19 / O algoritmo MMP (Multi-dimensional Multiscale Parser) é um esquema de compressão com perdas que tem como base o casamento aproximado de padrões multiescalas, no qual blocos de sinais de dimensões diferentes podem ser aproximados pelo seu dicionário. Tal aproximação é possível devido a uma transformação de escala que adapta as dimensões dos blocos, em versões dilatadas e contraídas, antes do casamento ser realizado. O MMP vem apresentando um bom desempenho em images com grande conteúdo de alta freqüência, mas em imagens suaves não apresentou resultados satisfatórios. Neste trabalho propõem-se uma melhoria da capacidade de compressão de imagens suaves, sem diminuir a qualidade de imagens mais complexas, tendo como base o algoritmo MMP, este algoritmo é chamado de GSM-MMP (Generalized Side-Match Multidimensional Multiscale Parser). O GSM-MMP realiza uma predição para a estruturação do dicionário de codificação baseada em semelhança com os três vizinhos do bloco atual que será codificado.