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This paper presents the evaluation of the effect of noise reduction techniques on the brain Computed Tomography (CT) images. In particular, multiscale geometric denoising methods based on curvelet transform are used and compared with wavelet based methods. The simulated results show that cycle spinning based curvelet transform method outperforms the wavelet based methods not only for the suppression...
Ultrasound (US) images are degraded by speckle noise that reduces the contrast and details of images. But the effective method for speckle noise reduction with keeping edge has been still a challenging point. Coherence measurement has been used to distinguish homogeneous region and coherence regions, e.g. edges, and the edge map obtained from coherence measurement has limitation such as noisy or discontinued...
Noise reduction is an essential step of cDNA microarray image analysis for obtaining better-quality gene expression measurements. Wavelet-based denoising methods have shown significant success in traditional image processing. The complex wavelet transform (CWT) is preferred to the classical discrete wavelet transform for denoising of microarray images due to its improved directional selectivity for...
Compression of coronary angiographic images has been shown to be difficult as compared to other medical imaging modalities. Some of the factors partially responsible for this is the presence of complex detail structures that are only apparent by subtle changes in the contrast and altered by significant amount of noise. Simultaneous compression and denoising is required when images are altered by additive...
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