The task of determining the distance from one object to another is important tasks solved in robotics systems. Conventional algorithms rely on an iterative process predicting estimates, which results increased computational burden. Algorithms used robotic systems should require minimal time costs, as well be resistant presence noise. To solve these problems, paper proposes algorithm for Kalman ...

Median filtering detection has recently drawn much attention in image editing and image anti-forensic techniques. Current image median filtering forensics algorithms mainly extract features manually. To deal with the challenge of detecting median filtering from small-size and compressed image blocks, by taking into account of the properties of median filtering, we propose a median filtering det...

Further, a technique known as adaptive decision based filtering is proposed and applied.filter to the recently developed theory of optimal weighted median filtering. Weighted median filters for image and image sequence restora.Abstract A new median-based filter, progressive switching median. Index Terms Image enhancement, impulse detection, median filter, nonlinear filter.shown that relaxed med...

Abstarct In this paper, combination of channel, receiver frequency-dependent IQ imbalance and carrier frequency offset estimation under short cyclic prefix (CP) length are considered in OFDM system. An adaptive algorithm based on the set-membership filtering (SMF) algorithm is used to compensate for these impairments. In short CP length, per-tone equalization (PTEQ) structure is used to avoid i...

Discontinuous signals buried in noise cannot be recovered by linear filtering methods. This paper presents a new class of nonlinear filters in which sets of forward and backward linear predictors and smoothers compete with each other at each timestep. The winner of each competition is granted the right to produce the smoothed estimate at that timestep. This conceptually simple approach to nonli...

In an environment of fierce noise contamination, infected pixels tend to connect into noise blotches that could give the filtering algorithm an illusion of being part of the original image data. Therefore, many impulses would be difficult to detect, with the consequence of a less chance for proper detection and thus, filtering. Previously, median filters or its variant have been adopted to filt...

OCR has been an active research area since last few decades. OCR performs the recognition of the text in the scanned document image and converts it into editable form. The OCR process can have several stages like preprocessing, segmentation, recognition and post processing. The preprocessing stage is a crucial stage for the success of OCR, which mainly deals with noise removal. In the present p...

This Paper presents an efficient algorithm for median filtering with a 3x3 filter kernel with only about 9 comparisons per pixel using spatial coherence between neighbouring filter computations. The basic algorithm calculates two medians in one step and reuses sorted slices of three vertical neighbouring pixels. An extension of this algorithm for 2D spatial coherence is also examined, which cal...

In this thesis work the text found on the vehicle plates is detected from the input image and this requires the localization of number plate area in order to identify the characters present on it. In this thesis work, simple colour conversion edge detection and removal of noise with the application of median filter as one of the operators is attempted. This thesis work presents an approach usin...