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This paper uses a Fractional Integral Mask algorithm to remove Poisson noise from medical images. Riemann-Liouville definition of fractional calculus is used to create Fractional integral masks in eight. directions. Two different methods of Mask Combining Technique, CT-1 and CT-2 are introduced for image de-noising. Performance of the algorithm is compared with that of Gaussian smoothing method of...
Despeckling is a preprocessing step required for application like segmentation or registration of target from sonar images. The detection and classification of objects in the sonar images is adversely affected by the presence of multiplicative speckle noise . A blind denoising of sonar images based on sonar image heterogeneity of sonar image patches is proposed. The homomorphic approach is used to...
The presence of multiplicative speckle noise in side scan sonar images unfavourably affects the detection and classification of ob- jects in the image. This noise is related to the sensing system and the image formation process. Speckle removal is a pre-processing step required in such images for applications like segmentation and registration. Most of the speckle reduction techniques intro- duces...
In this paper, a one step pixel prediction based approach for sonar image estimation in speckle noise is proposed. Spatial resolution of sonar images are degraded by the multiplicative noise namely speckle. Denoising is required in sonar images to characterize different region by analyzing the image. First the homomorphic approach is applied on the reflectivity domain relation of the sonar image to...
The attenuation of standard analog low pass filters for low frequencies is an integer multiple of -20 dB/dec. In order to attain intermediate values of roll-off factors, such as -10 dB/dec, it would be required to employ a fractional order filter. Fractional order filters have an infinite dimensional representation and thus finite dimensional approximations are computed through the decomposition of...
The effectiveness of an image denoising algorithm depends upon how the signal is represented in it. A lot of work has been done in the field of image denoising already, but there is a lot of scope for further investigation as well. In this paper, a simple, efficient Patch based and Block based image denoising algorithms, where the noisy image patches are represented using Principal Components and...
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