Wavelet transforms and other multi-scale analysis functions have been used for compact signal and image representations in de-noising, compression and feature detection processing problems for about twenty years. Numerous research works have proven that space-frequency and spacescale expansions with this family of analysis functions provided a very efficient framework for signal or image data. ...

The main objective of this project is to design an efficient architecture for removal of random-valued impulse noise from captured image. A good image de-noising model property is that, it will remove noise while preserving edges. The decision-tree-based denoising method (DTBDM) is the proposed methodology for this project. It consists of decision tree based impulse detector, to detect the nois...

In today’s world transmission of data i.e. voice and image plays vital role in day to day communication. While transmitting the voice or image over wireless channels there is higher probability of information getting corrupted because of various types of noises presence in the channel. This paper focusing on transmission of image through wireless channels. The impact of noise can be minimized b...

Time-of-Flight (ToF) imaging is a promising technology for real-time metric surface acquisition and has recently been proposed for a variety of medical applications. However, due to limitations of the sensor, range data from ToF cameras are subject to noise and contain invalid outliers. In this paper, we discuss a real-time capable framework for ToF preprocessing in a medical environment. The c...

Identification of the source that has generated a digital content is considered one of the main open issues in multimedia forensics community. The extraction of photo-response non-uniformity (PRNU) noise has been so far indicated as a mean to identify sensor fingerprint. Such a fingerprint can be estimated from multiple images taken by the same camera by means of a de-noising filtering operatio...

this paper presents a hybrid technique for image enhancement with ability of de-noising it integrates two different processing aspects into one. The proposed algorithm uses the image abstraction technique for detecting the information density in different parts of image then accordingly operates the smoothing filter and after filtering the information’s of edges are recombined with the filtered...

Existing biomedical wavelet based applications exceed the computational, memory and consumption resources of low-complexity embedded systems. In order to make such systems capable to use wavelet transforms, optimization and implementation techniques are proposed. The Real Time QRS Detector and “De-noising” Filter are developed and implemented in 16-bit fixed point microcontroller achieving 800 ...

A synthetic fingerprint generation method is presented and implemented in this paper. A new combination model for the orientation field of fingerprint is applied to generate more realistic fingerprint direction map, and a new expression of the fingerprint density map is presented. Then a modified Gabor filter is used for ridge pattern generation. This method consists of two main processes: Firs...

Synthetic Aperture Radar (SAR) images are contaminated by multiplicative speckle noise, a chaotic phenomenon that results from coherent energy imaging; and that obscures the scene complex and strongly reduces the possibility to observe objects. Multiplicative speckle noise limits the classical coder/decoder algorithm in spatial domain. Various scalar wavelet based techniques so far developed fo...

Adaptive filtering constitutes an important class of DSP algorithms employed in several hand held mobile devices for applications such as echo cancellation, signal de-noising, and channel equalization. The throughput of the proposed design is increased by parallel lookup table (LUT) update.The 16:1 multiplexer is replace by a 8:1 and 2:1 MUX. The conventional adder-based shift accumulation for ...