NPCR and UACI Randomness Tests for Image Encryption

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Exploiting self-adaptive permutation-diffusion and DNA random encoding for secure and efficient image encryption (2018, unknown): “Referring to the achievements in [43], the expected NPCR and UACI values for 256 gray-level image encryption are 99.”
Image encryption using the two-dimensional logistic chaotic map (2012, unknown): “Finally, security analysis of using both the conventional quantitative measurements and the most recent qualitative measurements [7] [28] demonstrate that the proposed cipher is able to generated statistically random-like encrypted images.”
2D Sine Logistic modulation map for image encryption (2015, background): “Recently, new criteria for the NPCR and UACI tests have been developed [29].”
Shannon Entropy based Randomness Measurement and Test for Image Encryption (2011, background): “Statistical tests for the number of changing pixel rate (NPCR) and the unified average changing intensity (UACI) [6, 12, 16, 35, 54, 55, 57, 64, 66], two measurements on the changing rate of encrypted images, have been proposed recently in [59].”