A Novel Approach For Super-Resolution Reconstruction of Video Sequences

Abstract: Video quality plays important role in many fields like engineering, medical field as well as in social areas. There are many problems are occurs in video quality likes sharpening, pixel quality, visual effect, color enhancement, color intensity etc. Super-resolution technique is used for enhance the resolution of real-time video clips. In order to improve the video quality, Super-Resolution reconstruction (SR) method is applied to restore a high-resolution image from consecutive frames in the video sequence. The proposed system based on fusion process, edge detection, dilation, super-resolution technique. The proposed system is implemented based on SIMULINK software. Compare resize video like (Interpolation method like Nearest Neighbor output) and SR video output like Bilinear or Bi-cubic SR method by observing Bit Error Rate (BER), PSNR, SSIM, MSE and frame rate calculations. They convert Low- Resolution (LR) video to High-Resolution (HR) flexible video like de-noising, sharpening, color corrections, pixel. In this proposed work, SR is applied for better video quality.

Keywords: Video super-resolution; Image fusion process; frames; resize;