Title: Contrast enhancement in probabilistic visual cryptography schemes: a pixel count based approach

Authors: T.E. Jisha; Thomas Monoth

Addresses: Department of Information Technology, Kannur University, Kannur-670 567, Kerala, India ' Department of Computer Science, Mary Matha Arts and Science College, Kannur University, Mananthavady-670 645, Wayanad, Kerala, India

Abstract: The concerns with pixel expansion are eliminated by the introduction of size-invariant visual cryptography techniques. In the field of visual cryptography, the contrast of the decrypted image continues to be a hurdle. The two existing schemes in visual cryptography are the perfect reconstruction of black pixels and the perfect reconstruction of white pixels. In the current study, we introduce a size-invariant probabilistic technique, where the contrast of the deciphered image depends on the chosen scheme. Which scheme is employed depends on the total amount of black and white pixels in the covert image. Here, we have described the development and effectiveness of non-expanded probabilistic visual cryptography schemes with the perfect reconstruction of both black and white pixels that were based on several research studies. These schemes include (2, 2), (2, n), (n, n) and (k, n). We analysed the data using tables and charts to demonstrate the effectiveness of the suggested model, and we discovered that the projected models enhanced the contrast.

Keywords: probabilistic; size-invariant; black and white pixels; visual quality; visual cryptography scheme.

DOI: 10.1504/IJICS.2024.143918

International Journal of Information and Computer Security, 2024 Vol.25 No.3/4, pp.333 - 350

Received: 02 Sep 2023
Accepted: 20 Jan 2024
Published online: 14 Jan 2025 *

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