An Optimization Method for Video Upsampling and Downsampling Using Interpolation-Dependent Image Downsampling
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Abstract
In this paper, an optimization method is proposed by analyzing interpolation-dependent image downsampling (IDID) and bicubic interpolation algorithms to improve the quality of video upsampling and downsampling. The bicubic algorithm is used as a reference to find the optimal downsampled image by setting its mapping relationship to geometric center alignment and improving bicubic for the interpolation kernel coefficients. The Peak Signal to Noise Ratio(PSNR) of the optimized algorithm is improved by 0.64 dB and 0.14 dB on average over bicubic and IDID_cubic, respectively. To verify the effectiveness of this scheme, the upsampling and downsampling effects of bicubic and bicubic of interpolation-dependent image downsampling (IDID_bicubic) in video sequences are compared and analyzed. The results show that the optimized algorithm improves the video image quality, which is important for the application to improve the overall quality of video codec.
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