Restoration of Image Using KNN Algorithm

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Volume 2, Issue 4 (April, 2016)
Publication No:
Veena Kumari, Prakash Negi, Pushpender Kumar Dhiman and Kapil Kapoor
20 x

Abstract: - This paper analyzes coding algorithm of JPEG image and proposes a K-Nearest Neighbor (KNN) approach to perform in painting in the DCT Coefficients to get a more optimized compression ratio. The proposed methodology is expected to outperform the compression ratio of the Baseline JPEG Algorithm dealing with images having cracks and distortions. The reason behind this is plain and simple. Images having distortions will have anomalies in the distorted parts which will contribute to the size of the image. If those distortions are removed before compression, the output will be more optimized. 


DCT, JPEG, KNN, PSNR, SSIM (Structural Similarity Index Measurement) 

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