<p>The widespread use of digital technology has made transmitting information across different platforms easier. However, sending sensitive data, such as images, over insecure channels like the Internet can threaten privacy and security. It is crucial to safeguard image data from potential security breaches and protect individuals’ privacy. A combination of confusion and diffusion techniques can be used to implement an effective image encryption framework. Chaotic maps, which generate random sequences, have become more dominant in modern multimedia encryption than traditional algorithms. It is a highly secure and efficient method for encrypting images. However, the classical Hénon map could have a better chaotic range, and to address this issue, improvement in the Hénon map is proposed and tested for a better chaotic range. The proposed map generates a pseudo-random number using an improved version of the Hénon map as a key for image diffusion. The secure image encryption framework uses the discrete Cat map for confusion. The encryption scheme is simulated using MATLAB and evaluated based on standard performance metrics. The simulation and theoretical examination demonstrate the usefulness of the suggested algorithm and prove that this method can ensure both the secrecy and trustworthiness of the images during transmission.</p>