The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, a new heterogeneous neural networks based deep learning method, named HNNDL, is presented for supervised classification of hyperspectral image (HSI) with a small number of labeled samples. Specifically, a deep neural Network (DNN) and a convolutional neural network (CNN) are combined to build a HNNDL architecture. The proposed architecture contains three modules: 1) dimension reduction...
In general, the performance of a multimedia watermarking scheme is measured in terms of signal-to-noise ratio (SNR) and robustness. However, there is a tradeoff between them which issues a challenge in the field of the watermarking. To overcome this problem, the embedding rules using amplitude quantization instead of single-coefficient quantization are first integrated as an embedding system that...
This study presents an optimization-based image watermarking scheme that applies summation quantization technique to multi-coefficients of discrete wavelet transform (DWT). Peak signal-to-noise ratio (PSNR) and bit error ratio (BER) are commonly performance indexes in measuring the quality and robustness of an image watermarking scheme. To optimize the tradeoff between PSNR and BER, we minimize the...
Unlike traditional entropy in information theory, this work uses the normalized energy instead of probability to obtain a low-frequency amplitude transform (LAT) on coefficients of discrete wavelet transform (DWT). The watermark is embedded based on the properties and characteristics of this transform. Finally, performance of the proposed scheme is assessed by signal-to-watermark (SWR) and bit error...
This study presents an optimization-based image watermarking scheme by using Lagrange Principle. Unlike traditional way of single-coefficient quantization, this study uses multi-coefficients quantization to embed the watermarks. To modify the low-frequency coefficients of discrete wavelet transform (DWT), the Lagrange Principle is applied to derive an optimization-based formula. Experimental results...
This study presents an optimization-based image watermarking scheme by using Lagrange Principle. Unlike traditional way of single-coefficient quantization, this study uses multi-coefficients quantization to embed the watermarks. To modify the low-frequency coefficients of discrete wavelet transform (DWT), the Lagrange Principle is applied to derive an optimization-based formula. Experimental results...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.