Modified Parametric Optimization Color Image Security Algorithm Using Latin Square Encryption Approach

Ensuring the security of digital images is a challenging task that requires the preservation of image properties. Image Encryption Standards (IES) are commonly employed to achieve this objective. Latin square-based encryption is particularly advantageous in the presence of significant nuisance disturbances. Typically, image encryption algorithms are constrained by key size. Therefore, the primary goal of this paper is to develop an effective Latin Square (LS)-based image encryption algorithm. We apply an updated parameter-based Latin Square encryption to the Luminance component in the LAB color space, along with the experimentally best parameter selection. The use of the LAB color space is capable of representing color information better than the RGB space, offering greater entropy and brightness. The encryption performance is assessed through parametric evaluation. The performance of the modified encryption algorithm is tested on unique color image data. The parametric evaluation is based on the Normalized Cross-Correlation Peak Ratio (NCPR), Unified Average Changing Intensity (UACI) count, and the Peak Signal-to-Noise Ratio (PSNR) calculated over the recovered images. The efficiency of the proposed method is demonstrated through parametric evaluation, which shows an improvement over the standard method.