In the realm of internet communication, memes have emerged as a powerful means of expression, swiftly disseminating emotions and ideas. The ability to classify memes, particularly in languages with regional nuances su...
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Digital image authentication is a critical process in ensuring the integrity and ownership of digital images, especially in the age of widespread digital manipulation and unauthorized use. In this manuscript, an image...
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ISBN:
(纸本)9789819780501;9789819780518
Digital image authentication is a critical process in ensuring the integrity and ownership of digital images, especially in the age of widespread digital manipulation and unauthorized use. In this manuscript, an image watermarking scheme has been proposed by combining the Lifting Wavelet Transform (LWT) and the Least Significant Bit (LSB) for image authentication. The goal of the proposed scheme is to achieve robustness against various attacks while maintaining the high-quality visual appearance of the watermarked image. Experimental evaluations are conducted to assess the performance of the proposed hybrid watermarking scheme. Various metrics, including Peak signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Normalized Correlation (NC), are employed to measure the visual quality, robustness, and authentication accuracy of the watermarked image. The results demonstrate the effectiveness of the proposed scheme in achieving high-quality visual appearance, robustness against attacks, and accurate image authentication.
Window setting in CT brain images is the crucial pre-processing step to examine the abnormalities for diagnosing disease. Recently, many methods have been proposed to determine the suitable window automatically instea...
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This paper introduces a method to automatically learn the unary and pairwise potentials of a conditional random field (CRF) from the input data in a non-parametric fashion, within the framework of the semantic segment...
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Leveraging the spatio-spectral modulation and sophisticated reconstruction algorithms, the colorful compressive spectral imaging (CCSI) method can reconstruct a three-dimensional spectral image from a single compressi...
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Guided image processing techniques are widely used for extracting information from a guiding image to aid in the processing of the guided one. These images may be sourced from different modalities, such as 2D and 3D, ...
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In the internet era, massive amounts of image data have em erged. How to efficiently perform accurate and efficient image retrieval from this data has become a crucial issue. Most methods are affected by the redundant...
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In response to the demands and challenges of image editing in the internet of Things (IoT) domain, we have proposed an interpretable image editing method guided by text(TGIEN), aiming to address the limitations of exi...
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The quality of imagesignals directly affects the performance of intelligent communication systems. This paper proposes a set of image enhancement and denoising algorithms to address image quality degradation in intel...
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Satellite images are commonly used to monitor land use land cover (LULC) changes. Unfortunately, publicly available images often lack the resolution required for detailed urban studies. In this study, we enhanced the ...
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