Topic
Channel (digital image)
About: Channel (digital image) is a research topic. Over the lifetime, 7211 publications have been published within this topic receiving 69974 citations.
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TL;DR: The simulated experimental results and security analysis show that the proposed cryptosystem has fairly good encryption effect than the original fusion scheme but also has the capability to sustain noise which gets add during transmission over noisy channel.
Abstract: A Modified Dual Fusion (MDF) technique of image encryption is proposed in this paper to overcome the limitations that exist in the original research work of Q. Zhang et al. (Optik 124:3596---3600, 2013). A novel technique of DNA encoding is applied through chaotic maps on pixel level and SHA-256 hash of the plain image is used to generate secret keys to avoid chosen-plaintext attack. Also, in the modified scheme, two random images are generated from chaotic maps to fuse with the plain image after permutation in digital and DNA domains using XOR and addition operations respectively. The simulated experimental results and security analysis show that the proposed cryptosystem has fairly good encryption effect than the original fusion scheme but also has the capability to sustain noise which gets add during transmission over noisy channel. Besides, the paramount factor of improved scheme is suitable for the real time applications.
50 citations
TL;DR: A Conditional Variational Image Deraining (CVID) network is proposed for better deraining performance, leveraging the exclusive generative ability of Conditionalvariational Auto-Encoder on providing diverse predictions for the rainy image.
Abstract: Image deraining is an important yet challenging image processing task. Though deterministic image deraining methods are developed with encouraging performance, they are infeasible to learn flexible representations for probabilistic inference and diverse predictions. Besides, rain intensity varies both in spatial locations and across color channels, making this task more difficult. In this paper, we propose a Conditional Variational Image Deraining (CVID) network for better deraining performance, leveraging the exclusive generative ability of Conditional Variational Auto-Encoder (CVAE) on providing diverse predictions for the rainy image. To perform spatially adaptive deraining, we propose a spatial density estimation (SDE) module to estimate a rain density map for each image. Since rain density varies across different color channels, we also propose a channel-wise (CW) deraining scheme. Experiments on synthesized and real-world datasets show that the proposed CVID network achieves much better performance than previous deterministic methods on image deraining. Extensive ablation studies validate the effectiveness of the proposed SDE module and CW scheme in our CVID network. The code is available at https://github.com/Yingjun-Du/VID .
50 citations
TL;DR: Two separate methods for robust and invisible image watermarking are proposed in RGB color space and Singular Value Decomposition (SVD) is employed on the blue channel of the host image to retrieve the singular values and the watermark is embedded in these singular values.
50 citations
TL;DR: An exigent aspect such as natural scene text identification and extraction has been investigated due to cluttered background, unstructured scenes, orientations, ambiguities and much more.
50 citations
TL;DR: The proposed stratagem embeds the watermark image both into the spatial domain and the frequency domain of the multi-channel quantum carrier image, while also providing a quantum measurement-based algorithm to generate an unknown key that is used to protect the color information.
Abstract: Utilizing a stockpile of efficient transformations consisting of channel of interest, channel swapping, and quantum Fourier transforms, a duple watermarking strategy on multi-channel quantum images is proposed. It embeds the watermark image both into the spatial domain and the frequency domain of the multi-channel quantum carrier image, while also providing a quantum measurement-based algorithm to generate an unknown key that is used to protect the color information, which accompanies another key that is mainly used to scramble the spatial content of the watermark image in order to further safeguard the copyright of the carrier image. Simulation-based experiments using a watermark logo and nine building images as watermark image and carrier images, respectively, offer a duple protection for the copyright of carrier images in terms of the visible quality of the watermarked images. The proposed stratagem advances available literature in the quantum watermarking research field and sets the stage for the applications aimed at quantum data protection.
50 citations