Optical encryption for large-sized images using random phase-free method
Tomoyoshi Shimobaba, Takashi Kakue, Yutaka Endo, Ryuji Hirayama,, Daisuke Hiyama, Satoki Hasegawa, Yuki Nagahama, Marie Sano, Takashige Sugie,, Tomoyoshi Ito

TL;DR
This paper introduces an optical encryption method for large images that reduces speckle noise by using a random phase-free approach and scaled diffraction, enabling secure encryption and decryption of images larger than the encrypted image size.
Contribution
The paper presents a novel optical encryption framework combining random phase-free method and scaled diffraction to encrypt large images with reduced speckle noise.
Findings
Effective encryption and decryption of large images beyond encrypted image size.
Significant reduction in speckle noise in decrypted images.
Successful application of scaled diffraction for different plane sizes.
Abstract
We propose an optical encryption framework that can encrypt and decrypt large-sized images beyond the size of the encrypted image using our two methods: random phase-free method and scaled diffraction. In order to record the entire image information on the encrypted image, the large-sized images require the random phase to widely diffuse the object light over the encrypted image; however, the random phase gives rise to the speckle noise on the decrypted images, and it may be difficult to recognize the decrypted images. In order to reduce the speckle noise, we apply our random phase-free method to the framework. In addition, we employ scaled diffraction that calculates light propagation between planes with different sizes by changing the sampling rates.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsChaos-based Image/Signal Encryption · Advanced Steganography and Watermarking Techniques
