Weight Median Filter Using Neural Network for Reducing Impulse Noise

Noise is undesired information that affects an image. Noise appears in images from various sources. Noise reduction and noise removal is an important task in images processing. The weight median filters are extension of the median filter; it belongs to the broad class of nonlinear filters. Weight median filter is more effective form of image processing, it is the removing ability of impulsive noise. Impulsive noise is a kind of image corruption where each pixel value is replaced with an extremely large or small value that is not related to the surrounding pixel values by a probability. iv The design of weight coefficients of the weight median filter is considered as a difficult problem. The weight coefficients of the weight median filter learnt by the backpropagation with supervised multi-layer perceptron feed-forward networks and threshold decomposition has been presented in this thesis, which has been implemented using Turbo C++ language. Good results have been achieved by using program package. Results show that weight median filter based on threshold decomposition removes impulsive noise with an excellent image detail-preserving capability compared to nonlinear filter and linear filter. Restored images evaluation by using mean square error and speed. The package has been implemented using the MATLAB language. This study provides three types of filtering windows size, 3×3, 5×5 and 7×7 window size. The result shows that the mean square error of weight median filter based on threshold decomposition using 3×3 filtering window is less than 5×5, and 7×7 filtering window and the speed of weight median filter based on threshold decomposition using 3×3 is faster than 5×5, and 7×7 filtering window

Investigation of enhanced double weight code in point to point access networks

© 2020 Published under licence by IOP Publishing Ltd. In this paper, an investigation and evaluation to enhanced double weight (EDW) code is performed, a new technique for code structuring and building using modified arithmetical model has been given for the code in place of employing previous technique based on Trial Inspections. Innovative design has been employed for the code into P2P networks using diverse weighted EDW code to be fitting into optical CDMA relevance applications. A new developed relation for EDW code is presented, the relation is based on studying and experimenting the effect of input transmission power with code weight, and the relation developed using numerical analysis method. This relation makes the estimation for the system input power needed more efficient. The results of the code has been explained by eye diagram and parametric illustrations from the simulated results. The result shows a magnificent performance of the code during high number of users and weight. On the other hand, the relation developed for power measurement helps to prevent power loss and consumption

New code structure for spectral amplitude coding in OCDMA system

A new code structure for spectral amplitude coding optical code division multiple access system based on Double Weight (DW) code families is proposed. The DW code has a fixed weight of two. Modified Double Weight (MDW) code possesses ideal cross-correlation properties and the weight can be any even number, which is grater than two. The MDW code possesses ideal cross-correlation properties and exists for every natural number n. Using the MDW code compared to the existing codes such as Hadamard and Modified Frequency-Hopping (MFH) codes canprovide a much better performance. This has been demonstrated from the experiment simulation

Spectral amplitude coding OCDMA systems using enhanced double weight code

A new code structure for spectral amplitude coding optical code division multiple access systems based on double weight (DW) code families is proposed. The DW has a fixed weight of two. Enhanced double-weight (EDW) code is another variation of a DW code family that can has a variable weight greater than one. The EDW code possesses ideal cross-correlation properties and exists for every natural number n. A much better performance can be provided by using the EDW code compared to the existing code such as Hadamard and Modified Frequency-Hopping (MFH) codes. It has been observed that theoretical analysis and simulation for EDW is much better performance compared to Hadamard and Modified Frequency-Hopping (MFH) codes

Removing impulse noise images by using decision tree algorithm

Presently, a digital image is obtained through a suitable digital imaging system. Although the current technology has tremendously advanced, no imaging system is perfect in generating images that are identical to their originals because of the inherent physical limitations. During the filtering of noisy image, important features such as edges, lines and other fine image details embedded in the image tends to blur because of filtering operation. The enhancement of noisy data, however, is a very critical process because the sharpening operation can significantly increase the noise. In this proposed approach we aim to develop image processing technique that can meet this new requirement, which are high quality and high speed. Furthermore, prevent the noise accretion during the sharpening of the image details, and compare the restored images via proposed method with other kinds of filters