IEEE Trans Image Process - Size-controllable region-of-interest in scalable image representation.

Tópicos

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Resumo

Differentiating region-of-interest (ROI) from non-ROI in an image in terms of relative size as well as fidelity becomes an important functionality for future visual communication environment with a variety of display devices. In this paper, we propose a scalable image representation with the ROI functionality in the spatial domain, which allows us to generate a hierarchy of images with arbitrary sizes. The ROI functionality of our scalable representation is a result of a nonuniform grid transformation in the spatial domain, where only the center of ROI and an expansion parameter are to be known. Our grid transformation guarantees no loss of information within the area of ROI.

Resumo Limpo

differenti regionofinterest roi nonroi imag term relat size well fidel becom import function futur visual communic environ varieti display devic paper propos scalabl imag represent roi function spatial domain allow us generat hierarchi imag arbitrari size roi function scalabl represent result nonuniform grid transform spatial domain center roi expans paramet known grid transform guarante loss inform within area roi

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