This research studied the effect of additive and multiplicative noise in images, and their solution. Salt n pepper, and Gaussian noise is considered as a additive noise, while impulsive noise is considered as a multiplicative noise. For additive noise, this paper presents the outcome of Wiener filter, and Pseudo inverse filter, while for impulsive noise, we studied wavelet denoising. A hybrid f...

This paper presents a review of recent algorithms for noise reduction in images. The techniques discussed here deals with the impulse, multiplicative and Gaussian noise. Image fusion technique is employed as a general model for impulse noise meanwhile the static based median filter is mentioned for the salt and pepper noise reduction. Multiplicative noise reduction techniques involve the applic...

Image denoising is the basic problem in digital image processing. Removing Noise from the image is the main task to denoise the image. Salt & pepper (Impulse) noise and the additive white Gaussian noise and blurredness are the types of noise that occur during transmission and capturing. To remove these types of noise we have many filters like mean filter, median filter, inverse filter, wiener f...

The LMS-based adaptive order-statistic filters are presented in this paper. The adaptive Ll-filters as extension of the adaptive L-filter for two-dimensional filtering of noisy greyscale images is studied too. Their adaptation properties are studied by three types of noise, the additive white Gaussian noise, the impulsive noise or both, respectively. Moreover, the impulsive noise has the fixed ...

Total variation based methods are widely applied for image enhancement and particularly for de-noising. The majority of these is designed for a specific noise model. The alternative total variation based approach proposed here can deal with multiple noise models via two-pass iterative algorithm basing on total variation. The first pass is designed for draft denoising and to detect noise region....

Image filtering is a essential part of image processing. There are various filter are available but gives better result only for particular noise. Median filter are one of them median filter give better result for 'salt and pepper' noise but when we use this filter in Gaussian noise not give better result. We are proposing a new median filter with some modification of existing median ...

Computed tomography (CT) images are usually corrupted by several noises from the measurement process complicating the automatic feature extraction and analysis of clinical data. To attain the best possible diagnosis it is very vital that medical images be clear, sharp, and free of noise and artifacts. While the techniques for obtaining digital medical images continue to improve, ensuing in imag...

This paper represents Fuzzy logic based Adaptive Noise filter for real time image processing applications. Initially, the detection is performed using 3x3 scan and then taking a mean of four pixels further scanning is performed. Then histogram approach is applied for improving the image quality, textures and edges. The detection stage will identify the noise pixels. In the second stage of filte...

Efficient repression of noise in a medical image is very significant issue. This paper proposed method to denoise images by the use hybrid adaptive algorithm based on bat (BA) and genetic (GA). Medical can be often affected different kinds that decrease precision any automatic system for analysis. Therefore, reduction methods are always utilized increasing Peak signal-to-noise ratio (PSNR) stru...