A REVIEW ON SPATIAL DOMAIN IMAGE SUPER-RESOLUTION AND VARIOUS CHALLENGE ISSUES

Evaluating the previous work is an important part of developing super-resolution methods for better image reconstruction to improve perceptual quality with low computational complexity. image reconstruction has been very attractive research topic over last two decades as image super-resolution has a demanding applications in many of the real world applications such as, from satellite and aerial imaging to medical image processing, to facial image analysis, text image analysis, signature and number plate reading and biometric recognition. The aim of this paper is to review some spatial domain image super-resolution techniques as well as different challenge issues. This study is useful for accomplishing two goals (1) Reconstructing images without losing perceptual quality, (2) Designing new algorithms, the main objective.