Up

Restoration of Image Using KNN Algorithm


Notice: Undefined variable: link_article in /home/ijtc/public_html/plugins/content/bt_socialshare/bt_socialshare.php on line 818

Notice: Undefined property: stdClass::$image in /home/ijtc/public_html/plugins/content/bt_socialshare/bt_socialshare.php on line 818

Notice: Undefined variable: title in /home/ijtc/public_html/plugins/content/bt_socialshare/bt_socialshare.php on line 818

Notice: Undefined offset: 1 in /home/ijtc/public_html/plugins/content/bt_socialshare/bt_socialshare.php on line 820
 Hot
File Size:
782.65 kB
Volume:
Volume 2, Issue 4 (April, 2016)
Publication No:
IJTC201604001
Author:
Veena Kumari, Prakash Negi, Pushpender Kumar Dhiman and Kapil Kapoor

Notice: Undefined variable: pdFileDate in /home/ijtc/public_html/components/com_phocadownload/views/file/tmpl/default.php on line 277
Downloads:
21 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. 

Keywords:

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

Tags Associated: