An improved segmentation Fuzzy C-Means algorithm (FCM) is proposed for the image recognition of transmission line insulators. In this paper, the improved Wiener filter algorithm is firstly used to filtrate and recover image in pre-processing. Then, the insulator image is segmented based on the improved algorithm FCM. Finally, the contour of insulator is labelled by using connected component lab...

This paper presents a novel approach for the detection of emotions in highly corrupted noisy environment. The approach involves removal of noise from the image by the Wiener Filter. An automatic system for the recognition of facial expressions is based on a representation of the expression, learned from a training set of pre-selected meaningful features. However, in reality the noises that may ...

This paper presents a systematic method to validate implementations of video processing algorithms. This is useful when translating algorithms implementations from a floating-point to fixed-point precision. The method takes advantage of an automatic word length determination tool and an Objective Image Quality Metric (OIQM) to implement a performance driven validation. Since results obtained wi...

Leveraging the relationship between Wiener filtering and the coherence function, a version of coherence is defined that captures the causal relationship between WSS processes. This causal coherence is interpreted in a modeling context and used to demonstrate what a frequency dependent measure for causality both can and can’t represent. To understand how well frequency dependent coherence spectr...

Abstract: In this paper we have designed an inverse filter based on Wiener filter to remove haze fromimage. We have used Steering Kernel Regression and also Wavelet Transform to enhance the restored image. Our proposed algorithm has been applied on Wild database. Results showed that improving inverse filter by Wavelet Transform has better quality.

This paper describes a method for pedestrian detection, identification and tracking using image information. The method makes use of two cameras with a shared field of view and is robust to changes in illumination and shadows. After a brief calibration process, in which the scene is divided coarsely into planar pieces (which are later optimised), the process requires no interaction and automati...

Wiener filter based postfiltering has shown its usefulness in microphone array speech enhancement systems. In our earlier work, we developed a postfilter in the wavelet domain where better performance has been obtained compared to the algorithms developed in the Fourier domain. Furthermore, considerable computational savings are provided thanks to the multi-resolution and multi-rate analysis. T...

We consider a time varying wireless fading channel, equalized by an LMS Decision Feedback equalizer (DFE). We study how well this equalizer tracks the optimal MMSEDFE (Wiener) equalizer. We model the channel by an Autoregressive (AR) process. Then the LMS equalizer and the AR process are jointly approximated by the solution of a system of ODEs (ordinary differential equations). Using these ODEs...

Using an acoustic sensor network, consisting of spatially distributed microphones, a significant noise reduction can be achieved with the centralized multi-channel Wiener filter (MWF), which aims to estimate the desired speech component in one of the microphones, referred to as the reference microphone. However, since the distributed microphones are typically placed at different locations, the ...