The images are affected by random valued impulse noises during the image capturing and processing stages. In this study, an efficient, high performance and low hardware utilized impulse noise reduction algorithm is presented. This methodology determines the optimum direction pixels through the estimation of standard deviation. The edges in the images are preserved during the process of impulse ...

Two fundamental processes of modulation recognition are parameter extraction and feature selection. Parameter extraction determines unique characteristics of the signal such as frequency, phase, and amplitude. Parameters may also include statistical measures such as standard deviation, and nth-order moments and cumulants. This paper provides a brief review of two parameters, coherence and entro...

In this paper we proposed an efficient mechanism for removal of impulse noise from the digital images. The proposed filter is Segment based Constructive median (SCM), is integration of a cascaded easy to implement impulse detector and a detail preserving noise filter. In the first phase ,the impulse detector classifies any possible impulsive noise pixels. In the second phase filtering replaces ...

424  Abstract—Image denoising is one of the fundamental problems in image processing. In this paper, a novel approach to suppress noise from the image is conducted by applying the interquartile range (IQR) which is one of the statistical methods used to detect outlier effect from a dataset. A window of size kk was implemented to support IQR filter. Each pixel outside the IQR range of the kk ...

In this study, we evaluated the effect that pixel size has upon people’s preferences for images. We used multispectral images of faces as the scene data and simulated the response from sensors with different pixel size while the other sensor parameters were kept constant. Subjects were asked to choose between pairs of images; we found that preference judgments were primarily influenced by the v...

Cellular Automata (CA) is a methodology that uses discrete space to represent the state of each element of a domain and this state can be changed according to a transition rule. Image noise is unwanted information of an image. Noise can occur during image capture, transmission or processing and it may depend or may not depend on image content. Noise reduction is one of the important processes i...

Introduction: Reduction of peak kilovoltage (kV) setting has been a useful approach to d creating radiation dose; however, it may have varied effects on noise and the accuracy of diagnosis. Thus, we compared image quality between low (80 kV) and standard kilovoltage (100 kV) protocols. Material and Methods: This triple blind non-randomized parallel quasi-experimental study was conducted on 140 ...

Traditional noise removal methods like Non-Local Means create spurious boundaries inside regular zones. Visushrink removes too many coefficients and yields recovered images that are overly smoothed. In Bayesshrink method, sharp features are preserved. However, PSNR (Peak Signal-to-Noise Ratio) is considerably low. BLS-GSM generates some discontinuous information during the course of denoising a...

Background The learning environment dramatically affects the learning outcomes of students. Noise, inappropriate temperature, insufficient light, overcrowded classes, misplaced boards and inappropriate classroom layout all make up factors that could be confounding variables distracting students in class. This study was conducted to examine the effect of noise in educational institutions on the ...