Improvement in Face Hallucination using cuckoo algorithm

-------------------------------------------------------ABSTRACT--------------------------------------------------To Study about the Face Hallucination technique and to create high-resolution face images. After that Apply Artificial intelligence based cuckoo search technique to get high hallucination parameters. Cuckoo work on the colored image and performing face hallucination. PSNR, EPI, MOS, Correlation, MSE and SSIM parameters are used finally. In this paper Artificial intelligence based cuckoo search technique is used to get high hallucination parameters. Cuckoo based algorithm is one of the recent optimization algorithms, in the league of nature based algorithm. This technique is represent as a local linear filtering worked by incorporating four constraint functions at patch level. The first two constraints check if the training images are similar to the face image. And the final step defined in the HR face image. The proposal of applying the cuckoo algorithm for optimization in the process of face recognition is presented in this paper.