Abstract
High Resolution (HR) image is obtained utilizing set of Low Resolution images using the Super Resolution processes. For motion vector within the frames in Super resolution, the motion estimation algorithms are used. Motion estimation gives a fully designed algorithm in programmable platforms. Highest spatial accuracy is used by the algorithm to adapt the resolution of the image content where it is necessary, that is the border of the moving objects. Binocular vision is the most focused work in reconstruction of image and helps in collecting motion and depth image from defocused images. Shape from Focus (SFF) method is a sequence of images, which is used in the application where high resolution of focused images is given priority. It helps in removing blurred frames and helps in reconstruction. A framework model is proposed in this paper to derive HR images from LR images using motion estimation algorithms and further reconstruction algorithms are implemented using SFF. In this paper, we discuss how to increase the resolution of any image and to reconstruct image and then transferring data to WiMAX network and through WiMAX network this data can be viewed in mobile area as well. The paper proposes with a framework where the model deals with the sequence where we can recreate high resolution image using set of low resolution images and the transferring of data to WiMAX network.
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Sai Shivankita, K., Rakesh, N. (2017). Motion Estimation Enhancement and Data Transmission Issue Over WiMAX Network. In: Bhatia, S., Mishra, K., Tiwari, S., Singh, V. (eds) Advances in Computer and Computational Sciences. Advances in Intelligent Systems and Computing, vol 553. Springer, Singapore. https://doi.org/10.1007/978-981-10-3770-2_30
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DOI: https://doi.org/10.1007/978-981-10-3770-2_30
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