Abstract
In this paper, a Discrete Wavelet Transform (DWT) based approach for multi-focus image fusion using a novel coefficients selection scheme is proposed. The proposed method enables the decomposition of source images into low and high frequency sub-bands. To combine the low and high frequency sub-band coefficients of the transformed images, pixel averaging method and gradient based fusion rule are applied to the various frequency sub-bands. Finally, we applied inverse DWT and obtained an enhanced fused image. The performance of the proposed scheme is evaluated on various multi-focus images and experimental results are also compared with existing methods. Experimental results demonstrate that the proposed scheme is better and effective in terms of Peak-Signal-to-Noise-Ratio (PSNR).
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