Color Content Descriptors of Images by Vector Quantization

Mihalik, J.; Gladisova, Iveta

doi:10.15598/aeee.v18i4.3799

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Probably the largest issue with the usage of conventional encryption algorithms for image encryption is caused by the properties of uncompressed image data. While data stored in character strings are usually quite compact and individual characters are not related to each other, the number of image pixels could be large (to the extent that some of them are redundant) and their intensities are closely correlated [13,14]. This situation is shown in Figure 1, where a plain image with a resolution of 512 × 256 pixels and a color depth of 8 bits per pixel is encrypted by AES in its simplest mode of operation, being Electronic CodeBook (ECB) [15].…”

Section: Introductionmentioning

confidence: 99%

An Image Encryption Algorithm Using Logistic Map with Plaintext-Related Parameter Values

Oravec

Ovseník

Papaj

2021

Entropy

View full text Add to dashboard Cite

This paper deals with a plaintext-related image encryption algorithm that modifies the parameter values used by the logistic map according to plain image pixel intensities. The parameter values are altered in a row-wise manner, which enables the usage of the same procedure also during the decryption. Furthermore, the parameter modification technique takes into account knowledge about the logistic map, its fixed points and possible periodic cycles. Since the resulting interval of parameter values achieves high positive values of Lyapunov exponents, the chaotic behavior of the logistic map should be most pronounced. These assumptions are verified by a set of experiments and the obtained numerical values are compared with those reported in relevant papers. It is found that the proposed design that uses a simpler, but well-studied, chaotic map with mitigated issues obtains results comparable with algorithms that use more complex chaotic systems. Moreover, the proposed solution is much faster than other approaches with a similar purpose.

show abstract

Section: Introductionmentioning

confidence: 99%