Image is a powerful medium to convey visual information. During image transmission and acquisition, the impulse noise is corrupted in the field of digital image processing applications of transmission and reception due to unwanted disturbance. The proposed cloud noise filtering algorithm and VLSI architecture is used to remove the impulse noise is better than other methods. Extensive experiment...

A novel method is presented for the removal of spikes, caused by the division of two series of integers, from high-resolution histograms. When two series of integers are divided the results take the form of a nonuniform distribution. Such a division is often used in medical imaging, due to the storage of most images as integers. An example of this is the division of the saturated and unsaturate...

Surface electromyograms (EMGs) are valuable in the pathophysiological study and clinical treatment for dystonia. These recordings are critically often contaminated by cardiac artefact. Our objective of this study was to evaluate the performance of an adaptive noise cancellation filter in removing electrocardiogram (ECG) interference from surface EMGs recorded from the trapezius muscles of patie...

Spectrum sensing is key to many applications like dynamic spectrum access (DSA) systems or telecom regulators who need to measure utilization of frequency bands. The International Telecommunication Union (ITU) recommends a 10 dB threshold above the noise to decide whether a channel is occupied or not. However, radio frequency (RF) receiver front-ends are non-ideal. This means that the obtained ...

This paper presents a sliding mode filter that effectively removes impulsive noise and high-frequency noise with producing much smaller phase lag than linear filters. It is less prone to overshoot than previous sliding mode filters and it does not produce chattering. In addition, it is computationally inexpensive, and thus suitable for realtime applications. The proposed sliding mode filter emp...

Gaussian filter has been used extensively in signal image processing for many years. Gaussian or Gaussian derivative filtering is in several ways optimal for applications requiring low-pass filters or running averages. In this paper, a highly efficient noise removing technique based on a modified dynamic Gaussian filter is introduced. Called smooth filter, the Gaussian filter is known to be mor...