In all methods of image denoising there is a problem always exists that is how to distinguish noise and edge. Now wavelet and contourlet are main tools in image denoising, but threshold is the key in wavelet and contourlet denoising. In order to distinguish noise and edge well, most methods in wavelet denoising are about the improvement of threshold. Aiming to resolve this problem, a new method...

In this earlier multimedia scenario, the various disputes are the optimized use of storage space and also bandwidth. In order to shrink the storage space of pictures and transmission of information with customize limited bandwidth availability, Image compression plays a crucial role by retreating the size of image and to exploit the bandwidth in economical and valuable manner without demeaning ...

A novel patch based adaptive diffusion method is presented for image denoising. This is done with the purpose of locally and feature adaptive diffusion and for attaining patch-wise best peak signal to noise ratio. Our framework uses over-segmentation method to segment the image in to sensible regions and then diffusion of each segment/region to obtain the near-optimal solution and iterates to a...

The present paper, proposes an efficient denoising algorithm which works well for images corrupted with Gaussian and speckle noise. The denoising algorithm utilizes the alexander fractional integral filter which works by the construction of fractional masks window computed using alexander polynomial. Prior to the application of the designed filter, the corrupted image is decomposed using symlet...

Digital image plays a vital role in the early detection of cancers, such as prostate cancer, breast cancer, lungs cancer, cervical cancer. Ultrasound imaging method is also suitable for early detection of the abnormality of fetus. The accurate detection of region of interest in ultrasound image is crucial. Since the result of reflection, refraction and deflection of ultrasound waves from differ...

This paper proposes an Adaptive Image Denoising Method based on Thresholding that follows the similar approach as in the NeighShrink method. This method shrinks the noisy wavelet coefficients using an adaptive threshold. The NeighShrink and its versions namely, IAWDMBNC and IIDMWT always produce unfavourable smoothing of edges and details of the noisy image because these methods kill more noisy...

Radar target identification using high resolution range profile (HRRP), the target length is an important feature due to that it can reduce the time of identification and mitigate noise redundancy. Traditional threshold methods with the different operators are highly sensitive to noise. In this paper, we proposed an adaptive difference operator for target length feature extraction from HRRP. Ex...

One of the most promising techniques for increasing capacity in CDMA system is through the use of antenna array. There are a lot of different ways to calculate capacity of CDMA system. Some of them are quite simple and has an explicit form. The paper introduces to the capacity and coverage in asynchronous Code Division Multiple Access CDMA 2000 based system. Different channel scenario is applie...

BACKGROUND Magnetoencephalography (MEG) provides a direct measure of brain activity with high combined spatiotemporal resolution. Preprocessing is necessary to reduce contributions from environmental interference and biological noise. NEW METHOD The effect on the signal-to-noise ratio of different preprocessing techniques is evaluated. The signal-to-noise ratio (SNR) was defined as the ratio ...

noise induced hearing loss (nihl) is one of the most important occupational disease worldwide. nihl has been found potentiate by simultaneous carbon monoxide (co) exposure. free radicals have been implicated in cochlear damage resulted from the exposure to noise and due to the co hypoxia. this study examined whether α-tocopherol administration, as a free radical scavenger, causes the attenuatio...