In recent years, encryption algorithms have undergone rapid development, finding extensive applications across diverse industries. In the pursuit of enhancing the security of image encryption methodologies, this paper...
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In recent years, encryption algorithms have undergone rapid development, finding extensive applications across diverse industries. In the pursuit of enhancing the security of image encryption methodologies, this paper introduces a novel computational holographic encryption approach grounded in DNA coding and bit-plane decomposition. The encryption framework employs a Logistic-Sine chaotic mapping system characterized by a substantial key space to control encryption particulars. The plaintext image undergoes encryption through the input-output algorithm of computational holography. This algorithm shifts information from the spatial domain, represented by the greyscale map, to the frequency domain, concealing the distribution of pixel values. The incorporation of DNA coding and bit-plane transformations serves to intensify the chaos within the ciphertext image, thereby maximizing the efficacy of the encryption process. By integrating principles from biology and physical optics into encryption methodologies, this approach amalgamates diverse scientific domains. Simulation results and data analyses substantiate that the proposed encryption algorithm adeptly withstands various attacks, attesting to its security and reliability.
A modified input-output algorithm is first applied to generate long flat-top pulses using a phase-only pulse shaper for fast ignition of laser fusion. More accurate long (10-20 ps) flat-top pulses can be obtained with...
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A modified input-output algorithm is first applied to generate long flat-top pulses using a phase-only pulse shaper for fast ignition of laser fusion. More accurate long (10-20 ps) flat-top pulses can be obtained within several hundred iterations that take much shorter simulation time compared with "trial-and-error" algorithms. Also the flat-top pulses generated by the input-output algorithm are free from noise in the wings of the main pulse, thus higher pulse contrast with reduced pedestal can be obtained, which is very important for the fast ignition of laser fusion. Simulations also show that flatness on the flat-top of the pulse is fairly insensitive to perturbations of input signals.
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