Digital images captured from CMOS image sensors suffer Gaussian noise and impulsive noise. To efficiently reduce the noise in Image Signal Processor (ISP), we analyze noise feature for imaging pipeline of ISP where noise reduction algorithm is performed. The Gaussian noise reduction and impulsive noise reduction method are proposed for proper ISP implementation in Bayer domain. The proposed met...

Through analysis of PCNN’s work principle, a noval filtering approach capable of detecting and removing impulsive noise in multi-channel images. The filter detects noise pixels in the image by utilizing PCNN’s specific feature that the fire of one neuron can capture firing of its adjacent neurons due to their spatial proximity and intensity similarity. Then it estimates the noise pixels by a VM...

This report presents about the comparison of the performance among four different adaptive algorithms for suppressing impulsive noise. They are filtered-x least mean square (FXLMS) algorithm, least mean M-estimate (LMM) algorithm, filtered-x least mean M-estimate (FXLMM) algorithm, and a modified FXLMM algorithm. A designed noise, which is composed of impulsive noise and background noise, is us...

The high data rate Orthogonal Frequency Division Multiplexing (OFDM) with high spectral efficiency and its ability to soften the possessions of multipath makes them appropriate in wireless application. Impulsive noise twists the OFDM transmission and thus methods must be explored to conquer this noise consequence. Various efficient impulsive noise reduction schemes are already proposed for low ...

Robust single-user detection is employed in a direct sequence code-division multiple-access (DS-CDMA) system in which the noise process contains impulsive components. The breakdown point is computed for a mixture noise model. The bit error probability expressions are derived under a Gaussian mixture. The performance is also evaluated in the presence of power imbalance and asynchronous reception...

With the development of power line communication (PLC) technology, it is widely used in smart grid. In this paper, we mainly introduce communication modes of PLC, and respectively analysis their advantages and disadvantages. Moreover channel noises are described in the paper, and we respectively simulate background and impulsive noise in modeling. Finally we introduce compressed sensing and Spa...

A physical layer simulation of an IEEE 802.15.4 transceiver is developed in accordance with the specifications detailed in the IEEE standard. The simulator is validated by comparing the bit-error-ratio (BER) versus signal-to-noiseratio (SNR) curve found from simulation with that expected from theory. A broadband non-Gaussian impulsive noise model described by a symmetric -stable (SS) distribu...

Image denoising is the manipulation of the image data to produce a visually high quality image. The existing or current denoising algorithms or approaches are filtering approach, multifractal approach and wavelet based approach. Different noise models include noise as additive and multiplicative type. They include Gaussian noise, salt and pepper noise (impulsive noise), Brownian noise and speck...

Powerline communication systems are used to transmit audio and video transmissions with delay, datarate and QoS requirements. However, the Powerline medium is shared with other devices connected to any socket. When switching, and even during normal operation, these devices can generate some noises (stationary, cyclo-stationary & impulsive). A good knowledge of these noises is essential to count...

Fingerprints are useful for biometric purposes because of their well known properties of distinctiveness and persistence over time. However, owing to skin conditions or incorrect finger pressure, original fingerprint images always contain noise. Especially, some of them contain useless components, which are often mistaken for the terminations that are an essential minutia of a fingerprint. Math...