• Mohd. Bilal Sheikh
• Vikash Kumar Sachan

This paper demonstrates the usefulness and performance of spatial-scale based techniques in the field of multi-focus image fusion for feature identification. Spatial-scale based image fusion techniques overcome the limitation of the conventional Fourier-based, purely Spatial and Frequency based methods. Further, spatial-scale based techniques provides description of local spectral properties of non stationary image at different scales which is requisite for multi-focus image fusion. The spatial-scale based image fusion techniques, namely, Discrete Wavelet Transform (DWT), Stationary Wavelet Transform (SWT) and Non Sub-sampled Contourlet Transform (NSCT), have been selected for the fusion of multi-focus images. The accuracy of image fusion methods has been evaluated by using Correlation Coefficient (CC) and Universal Image Quality Index (UIQI), Peak Signal-to-Noise Ratio (PSNR) and Root Mean Square Error (RMSE). Experimental results exhibit that the NSCT based image fusion technique not only take out more important ocular information from source images, however, also efficiently evade the introduction of synthetic information. It notably better than the established SWT and DWT based fusion technique in terms of feature identification.

- Image Fusion, Spatial-scale, Stationary Wavelet Transform, Non Sub-sampled Tranform.

"Fusion of Multi-focus Images using Spatial-scale based Techinques: Application to Feature Identification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.190-198, May-2019, Available :http://www.jetir.org/papers/JETIR1905932.pdf

"Fusion of Multi-focus Images using Spatial-scale based Techinques: Application to Feature Identification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp190-198, May-2019, Available at : http://www.jetir.org/papers/JETIR1905932.pdf