Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. Six neighbor pixels (used to determine the local edge direction) and the distance between pixels. Figure Legend: From: Deinterlacing algorithm using direction-oriented inverse-free Wiener filtering Opt. Eng. 2011;50(6): doi: /

Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. Geometric duality for the CAD method. Figure Legend: From: Deinterlacing algorithm using direction-oriented inverse-free Wiener filtering Opt. Eng. 2011;50(6): doi: /

Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. Various windows of corresponding WS. Figure Legend: From: Deinterlacing algorithm using direction-oriented inverse-free Wiener filtering Opt. Eng. 2011;50(6): doi: /

Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. Proposed geometric dualities, based on the local edge direction obtained by the MELA method: (a) diagonal direction and (b) anti- diagonal direction. Figure Legend: From: Deinterlacing algorithm using direction-oriented inverse-free Wiener filtering Opt. Eng. 2011;50(6): doi: /

Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. Overall flowchart of the proposed algorithm. Figure Legend: From: Deinterlacing algorithm using direction-oriented inverse-free Wiener filtering Opt. Eng. 2011;50(6): doi: /

Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. Comparison of subjective image quality for the 1st frame of the Raven sequence: (a) original image (1280×720), (b) original partial image, (c) ELA (39.93 dB), (d) EELA (40.57 dB), (e) DSWVC (41.34 dB), (f) DOI (41.57 dB), (g) NEDD (41.84 dB), (h) LCID (41.85 dB), (i) MELA (41.99 dB), (j) FDD (42.24 dB), (k) LABI (42.09 dB), (l) EMD (41.31 dB), (m) EPD (40.48 dB), (n) FDED (42.09 dB), (o) CAD (42.32 dB), (p) DCAD (42.48 dB), and (q) DCADQR (42.48 dB). Figure Legend: From: Deinterlacing algorithm using direction-oriented inverse-free Wiener filtering Opt. Eng. 2011;50(6): doi: /

Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. SSIM map comparison of the enlarged regions of the reconstructed images by various methods. (a) The first frame of original table tennis sequence with a red rectangle marking the region to be magnified. (b) Magnified region in the original frame. SSIM maps of the reconstructed images by (c) ELA, (d) EELA, (e) DSWVC, (f) DOI, (g) NEDD, (h) LCID, (i) MELA, (j) FDD, (k) LABI, (l) EMD, (m) EPD, (n) FDED, (o) CAD, and (p) DCAD. Note that since the brighter SSIM map indicates that the image is more similar to the original, we can say that the proposed method provides the most similar image to the original, especially near the edge of table. Figure Legend: From: Deinterlacing algorithm using direction-oriented inverse-free Wiener filtering Opt. Eng. 2011;50(6): doi: /

Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. Comparison of the average PSNR results for various intrafield deinterlacing methods. Figure Legend: From: Deinterlacing algorithm using direction-oriented inverse-free Wiener filtering Opt. Eng. 2011;50(6): doi: /

Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. Comparison of the average CPU processing times for various intrafield deinterlacing methods. Figure Legend: From: Deinterlacing algorithm using direction-oriented inverse-free Wiener filtering Opt. Eng. 2011;50(6): doi: /

Date of download: 6/22/2016 Copyright © 2016 SPIE. All rights reserved. CPU processing time comparison of the CAD, DCAD, and DCADQR methods with varying image sizes. Figure Legend: From: Deinterlacing algorithm using direction-oriented inverse-free Wiener filtering Opt. Eng. 2011;50(6): doi: /