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View all- Andrushia AThangarajan R(2017)An efficient visual saliency detection model based on Ripplet transformSādhanā10.1007/s12046-017-0627-742:5(671-685)Online publication date: 10-Mar-2017
Visual saliency can be a useful tool for image content analysis such as automatic image cropping and image compression. In existing methods on visual saliency detection, most of them are related to the model of receptive field. In this paper, we propose ...
A recently developed approach, called “empirical wavelet transform,” aims to build one-dimensional (1D) adaptive wavelet frames accordingly to the analyzed signal. In this paper, we present several extensions of this approach to two-dimensional (2D) signals ...
Wavelet transform has the good characteristic of time-frequency locality and many researches show that it can perform well for denoising in smooth and singular areas. But it isn't suitable for describing the signals, which have high dimensional ...
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