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Proceedings Paper

Improved method for digital image manipulation: storage, transmission, and display
Author(s): Carlos Augusto Paiva da Silva Martins; Sergio Takeo Kofuji
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Paper Abstract

We present and analyze a new digital image manipulation method. Our main goals are to optimize the use of resources for image generation, storage, transmission, processing and display, and to display images with high quality. The proposed method consists on generating, storing, transmitting and processing images with fewer image samples (manipulation resolution), than screen pixels (display resolution). The display resolution is greater than manipulation resolution, and in the last stage of the proposed method, image display stage, we use some high quality reconstruction technique to generate these new pixels. In this work, we use the Two Dimensional Normalized Sampled Finite Sinc Reconstructor (NSFSR 2-D). We make qualitative and quantitative analyses of the proposed and currently used methods, and observe two important situations: Using the same image display resolution in both methods, the proposed has a smaller image manipulation resolution and resources usage, and image display quality is similar. Using the same image manipulation resolution and different image display resolutions, both methods have the same image manipulation resources usage and the proposed method has a much better image display quality. We conclude that the proposed image manipulation method achieves a better overall image quality, and reduces drastically the resources usage, like network bandwidth, processing and storage capacity. Thus, our main goals were achieved.

Paper Details

Date Published: 19 April 2000
PDF: 12 pages
Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); doi: 10.1117/12.383015
Show Author Affiliations
Carlos Augusto Paiva da Silva Martins, Pontificia Univ. Catolica de Minas Gerais and Univ. de Sao Paulo (Brazil)
Sergio Takeo Kofuji, Univ. de Sao Paulo (Brazil)


Published in SPIE Proceedings Vol. 3974:
Image and Video Communications and Processing 2000
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Robert L. Stevenson, Editor(s)

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