Novel Method of Crosstalk Analysis in Multiple Image Encryption and Image Quality Equalization Technology

Novel crosstalk analysis method is suggested in optical encryption of multiple image. To optimize the total capacity of stored images in optical encryption of multiple images. We analyze the effect of crosstalk noise with each individual image by using suggested method. From the results, individual crosstalk robustness is verified with various target images and unbalance of image qualities among encrypted multiple images could be explained effectively. In addition, simple modulation method is adapted to equalizing image quality and it shows the highly improved results compare to conventional methods.

Download Full-text

Informative Multimodal Unsupervised Image-to-Image Translation

10.5121/csit.2021.110503 ◽

2021 ◽

Author(s):

Tien Tai Doan ◽

Guillaume Ghyselinck ◽

Blaise Hanczar

Keyword(s):

Image Quality ◽

Mutual Information ◽

State Of The Art ◽

The State ◽

New Method ◽

Target Domain ◽

Multiple Images ◽

Source Domain ◽

Multiple Image ◽

Image Translation

We propose a new method of multimodal image translation, called InfoMUNIT, which is an extension of the state-of-the-art method MUNIT. Our method allows controlling the style of the generated images and improves their quality and diversity. It learns to maximize the mutual information between a subset of style code and the distribution of the output images. Experiments show that our model cannot only translate one image from the source domain to multiple images in the target domain but also explore and manipulate features of the outputs without annotation. Furthermore, it achieves a superior diversity and a competitive image quality to state-of-the-art methods in multiple image translation tasks.

Download Full-text

Crosstalk analysis for multiple-image encryption and image-quality equalization technology

Microsystem Technologies ◽

10.1007/s00542-015-2531-6 ◽

2015 ◽

Vol 21 (12) ◽

pp. 2717-2725 ◽

Cited By ~ 2

Author(s):

Do-Hyung Kim ◽

Sungbin Jeon ◽

No-Cheol Park ◽

Young-Pil Park

Keyword(s):

Image Quality ◽

Image Encryption ◽

Multiple Image

Download Full-text

The image quality analysis of neutron digital radiography through the variation of multiple image capturing

10.1063/1.5054544 ◽

2018 ◽

Author(s):

Ayu Fitri Amalia ◽

Widodo Budhi ◽

Urip Nurwijayanto Prabowo ◽

Gede Bayu Suparta

Keyword(s):

Image Quality ◽

Digital Radiography ◽

Quality Analysis ◽

Image Quality Analysis ◽

Multiple Image ◽

Image Capturing

Download Full-text

Computer-Generated Hologram Based on Reference Light Multiplexing for Holographic Display

Applied Sciences ◽

10.3390/app11167199 ◽

2021 ◽

Vol 11 (16) ◽

pp. 7199

Author(s):

Dapu Pi ◽

Juan Liu

Keyword(s):

Image Quality ◽

Numerical Simulations ◽

Light Wave ◽

Information Capacity ◽

Improve Image Quality ◽

Multiple Images ◽

Holographic Display ◽

Light Waves ◽

Computer Generated Holograms ◽

Holographic Displays

In this article, we propose a reference light wave multiplexing scheme to increase the information capacity of computer-generated holograms. The holograms were generated by different reference light waves and superimposed together as a multiplexed hologram. A modified Gerchberg–Saxton algorithm was used to improve image quality, and different images could be reconstructed when the multiplexed hologram was illuminated by corresponding reference light waves. We performed both numerical simulations and optical experiments to demonstrate the feasibility of the proposed scheme. Numerical simulations showed that the proposed method could reconstruct multiple images successfully by a single multiplexed hologram and optical experiments are consistently good with numerical simulations. It is expected that the proposed method has great potential to be widely applied in holographic displays in the future.

Download Full-text