This　paper　presents　the　introduction　of　an　innovative　chaotic　system　termed　ECNCM,　which　is　based　on　two　improved　chaos　models,　improves　the　chaos　of　the　model,　and　uses　it　as　a　new　PRNG.　Consequently,　a　novel　image　encryption　technique　has　been　crafted.　The　initial　step　involves　generating　a　primary　key,　which　is　associated　with　the　plaintext,　using　the　SHA-256　hash　of　the　plaintext　image　and　additional　relevant　manipulations.　Then　a　chaos　matrix　is　generated　based　on　the　key,　and　the　plaintext　is　encrypted　through　an　index　mapping　algorithm.　The　image　is　scrambled　for　pixels,　and　finally　the　ciphertext　image　is　obtained　through　encryption　operations　based　on　the　chaotic　array　generated　by　ECNCM.　The　security　of　the　algorithm　is　improved　through　the　substitution-permutation　network.　The　algorithm　was　tested　and　analyzed　based　on　experiments.　The　experimental　outcomes　demonstrate　that　the　algorithm　provides　notable　effectiveness　in　encryption　and　strong　security　attributes,　successfully　protecting　the　data　against　common　types　of　assaults,　such　as　chosen　plaintext　attacks　and　noise　injection　attacks.　©　2024　SPIE.