… Image fusion Remnant Wavelet transform In this paper, a novel approach is proposed which
utilizes features of wavelet and curvelet transform, … denoising it with curvelet transform. This …

… are certainly more appropriate), but we consider that if an image enhancement method
improves the human performance for analyzing a scene, it should do the same for a machine-…

… a uniform enhancement function to the whole image globally, … a new curvelet-based local
image enhancement strategy to … an MRI image by curvelet transform and wavelet transform, …

… effectively enhancement method. This paper present new efficient fingerprint image
enhancement algorithm works by performing threshold on Fast Discrete Curvelet Transform (FDCT) …

… It is a multiresolution approach in the curvelet transform domain. The argument … the image,
and the curvelet transform will not generate coefficients for the noise. But the curvelt transform …

… image fusion method based on the curvelet transform. The fused image using curvelet-based
image … detail as the original panchromatic image because curvelets represent edges better …

… The enhancement of dark area in the visible image is based on the image enhancement
method of high dynamic range compression of the guided filter [25]. The basic steps can be …

… These straight lines are then analyzed and reconstructed using ‘Curvelet Transform’. Curvelet
Transform … This transform uses Wavelet and radon transform as we will see. The result of …

… denoising [14], has been found to be an invaluable tool for image enhancement [15]. The
curvelet transform is obtained by applying the ridgelet transform [16] to square blocks of detail …

… a multifocus image fusion algorithm based on combination of wavelet and curvelet
transform. Although the fused results obtained by wavelet or curvelet transform individually are …