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Scaling of Digital Image using Pixel Replication


Affiliations
1 Yadavindra College of Engineering, GKC, Punjabi University, Talwandi Sabo, India
 

Image Interpolation is a basic part to scale the advanced image. The proposed interpolation technique used the back propagation algorithm for picture scaling and zooming. The back propagation algorithm learns from the current pixels and generates the new location of pixels. It calculates the error where error is the difference between actual output and desired output. The pixel that has least error is replicated first. The proposed method is evaluated using image quality metrix (IQM) like Peak Signal Noise Ratio (PSNR), Mean Square Error (MSE), Signal Noise Ratio (SNR) and Structure Similarity index (SSIM) of scaled image. From experimental result with scaling factor of 1, it has been concluded that the proposed method reduced the complexity 74.96% of an image as compared Gradient Based method reduced complexity of an image is 76.97%. So, proposed method defines better result as compare to Gradient Based method.

Keywords

Nearest Neighbor Interpolation, Bilinear Interpolation, Gradient Based Method, Scaling.
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  • Scaling of Digital Image using Pixel Replication

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Authors

Sukhveer Kaur
Yadavindra College of Engineering, GKC, Punjabi University, Talwandi Sabo, India
Balkrishan Jindal
Yadavindra College of Engineering, GKC, Punjabi University, Talwandi Sabo, India

Abstract


Image Interpolation is a basic part to scale the advanced image. The proposed interpolation technique used the back propagation algorithm for picture scaling and zooming. The back propagation algorithm learns from the current pixels and generates the new location of pixels. It calculates the error where error is the difference between actual output and desired output. The pixel that has least error is replicated first. The proposed method is evaluated using image quality metrix (IQM) like Peak Signal Noise Ratio (PSNR), Mean Square Error (MSE), Signal Noise Ratio (SNR) and Structure Similarity index (SSIM) of scaled image. From experimental result with scaling factor of 1, it has been concluded that the proposed method reduced the complexity 74.96% of an image as compared Gradient Based method reduced complexity of an image is 76.97%. So, proposed method defines better result as compare to Gradient Based method.

Keywords


Nearest Neighbor Interpolation, Bilinear Interpolation, Gradient Based Method, Scaling.

References