The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICS AND COMPUTERS IN SIMULATION
Transactions ID Number: 19-819
Full Name: Masakazu Higuchi
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: 3-3-1 Kichijyoujikitamachi, Musashino, Tokyo, 180-8633
Country: JAPAN
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E-mail address: m-higuchi@ejs.seikei.ac.jp
Other E-mails: m-higuchi@ejs.seikei.ac.jp
Title of the Paper: Image Encryption Methods Using Intensity Transformations in Visual Cryptography
Authors as they appear in the Paper:
Email addresses of all the authors: m-higuchi@ejs.seikei.ac.jp
Number of paper pages: 8
Abstract: In a kind of visual cryptography, a secret image is encoded as other images. Then, we can reconstruct the secret image by using share images produced in secret image encoding process. In the case that share images are binary, the secret image is reconstructed by printing the share images onto transparencies and stacking them together without any special electronic calculation. Myodo's method based on error diffusion can produce two high quality binary halftone share images from three input images, that is, two gray-scale images and a grayscale secret image, and restore the gray-scale secret image with high quality by using those share images. The method changes intensities of each pixel in input images as a pre-processing in order to restore a high quality secret image in term of visual effects. By improving the intensity transformation in Myodo's method, authors have proposed a method to generate high quality share images with high speed from which a secret image !
can be reconstructed with apparently higher quality than myodo's method. In this paper, we review the method and evaluate its performance for any input images objectively and subjectively.
Keywords: Visual cryptography, Halftone image, Superimposing, Intensity transformation, Affine transformation, Histogram equalization
EXTENSION of the file: .pdf
Special (Invited) Session: Performance Evaluation of Visual Cryptography Schemes with Intensity Transformations for Gray-Scale Images
Organizer of the Session: 638-327
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