scholarly journals A Content Hiding Method for Digital Hologram Using Multiple Fresnel Diffraction

2020 ◽  
Vol 10 (14) ◽  
pp. 4897
Author(s):  
Young-Ho Seo ◽  
Yoon-Hyuk Lee ◽  
Dong-Wook Kim

A digital hologram (DH) is so highly valued that it needs to be protected from exposure to an unpermitted person, which could be done by a content encryption. We propose an encryption scheme for digital holograms, whose goal is to hide their information with maximal visual distortion and minimal ration of the encrypted data. It uses the characteristics of the Fresnel transform and signal processing techniques. As the diffraction distance increases the region containing the object information relative to the whole diffraction plane becomes smaller. Therefore our scheme diffracts a given digital hologram twice: the first transform for reconstructing the image contained by the hologram and the second transform for concentrating the energy of the object into a small region. Then only the energy-concentrated region is encrypted to reduce the amount of data to be encrypted. Experimental results show that when the diffraction distance of the second transform is about 20 m, the encryption ratio is only 0.0058% of the hologram data, which is enough to hide the object information unrecognizably.

2013 ◽  
Vol 760-762 ◽  
pp. 497-501
Author(s):  
Yan Gao ◽  
Hao Zhou ◽  
Ji Hua Gu ◽  
Tao Yang

Since the resolution of digital micro-mirror device (DMD) which is used to reconstruct the digital holograms captured in experiments is relatively low, only a part of the digital hologram can be effectively reproduced in the experiment. For the hologram has the feature of high redundancy, in this paper, we propose that compress holograms based on Binary holographic interference. First, only the amplitude of the digital hologram is retained after Fresnel diffraction, recover the phase information from the amplitude, then generate a new compressed digital hologram with the phase and amplitude, and then process the new hologram according to the principle of binary holographic interference to improve the diffraction efficiency and to obtain a high-quality reconstruction.


2017 ◽  
Author(s):  
Sujeet Patole ◽  
Murat Torlak ◽  
Dan Wang ◽  
Murtaza Ali

Automotive radars, along with other sensors such as lidar, (which stands for “light detection and ranging”), ultrasound, and cameras, form the backbone of self-driving cars and advanced driver assistant systems (ADASs). These technological advancements are enabled by extremely complex systems with a long signal processing path from radars/sensors to the controller. Automotive radar systems are responsible for the detection of objects and obstacles, their position, and speed relative to the vehicle. The development of signal processing techniques along with progress in the millimeter- wave (mm-wave) semiconductor technology plays a key role in automotive radar systems. Various signal processing techniques have been developed to provide better resolution and estimation performance in all measurement dimensions: range, azimuth-elevation angles, and velocity of the targets surrounding the vehicles. This article summarizes various aspects of automotive radar signal processing techniques, including waveform design, possible radar architectures, estimation algorithms, implementation complexity-resolution trade-off, and adaptive processing for complex environments, as well as unique problems associated with automotive radars such as pedestrian detection. We believe that this review article will combine the several contributions scattered in the literature to serve as a primary starting point to new researchers and to give a bird’s-eye view to the existing research community.


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