Compressive Sensing Based Image Compression-Encryption Scheme Using Triangular Series and Novel Chaotic Map

In recent years communication through image has evolved so much that we must make sure that secret message stages should not be leaked. Hence the use of compression-encryption algorithms is of utmost necessity. In this paper, we present a unique chaotic map and encryption algorithm that can provide a robust yet efficient method for securing digital images against unauthorized access. The proposed encryption scheme begins by employing the triangular series to rearrange the pixel values of the input image. For the encryption process to offer a high level of security, a chaotic map is designed to display desirable qualities like ergodicity, unpredictability, and sensitivity to the initial key values. image compression through the Compressive sensing approach because of its lightweight implementation and suitability for resource-constrained environments like real-time image processing applications and Internet of Things devices. To prove the robustness of the chaotic map and encryption algorithm, many quantitative evaluation metrics such as entropy, correlation, bifurcation etc are used.