SUPER RESOLUTION OF IMAGES USING HYBRID APPROACH
Keywords:
Super-resolution, Motion estimation, Regularization, Reconstruction, Pixel.Abstract
Super Resolution is a process of producing a high spatial resolution image from one or more Low
Resolution (LR) observation. The resolution of an image is defined as the amount of fine details that are
visible. Nowadays Super-resolution image reconstruction is a active area of research, as it is capable of
overcoming some resolution limitations of low-cost imaging sensors such as Cell phone cameras. This allows
better utilization of the growing capability of high-resolution displays such as high-definition LCDs. Such
resolution enhancing technology is important in medical imaging and satellite imaging where diagnosis or
analysis from low-quality images can be extremely difficult .We have proposed the approach for enhancing
the resolution of images. We exploited the shift and motion based robust super-resolution (SR) algorithm [1]
and the diffusion image regularization method proposed in [2] to obtain the alias free and jerk free smooth SR
image.
