Integrating regression model with Gaussian mixture model for image super-resolution

@article{Deepak2017IntegratingRM,
  title={Integrating regression model with Gaussian mixture model for image super-resolution},
  author={A. V. S. Deepak and Umesh Ghanekar},
  journal={2017 International Conference on Intelligent Computing and Control Systems (ICICCS)},
  year={2017},
  pages={1281-1286}
}
The spatial resolution of the images captured by the optical components is very less and the image details are minimized due to problems, such as optical blurring, deviation in the lens and so on. Hence, the image resolution enhancing techniques have obtained more attention in recent years. This paper presents an image super-resolution (SR) method by integrating the Gaussian mixture model with the kernel regression model. At first, the low-resolution image is applied to the SR algorithm using… CONTINUE READING

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