Power and Delay Efficient Haar Wavelet Transform for Image Processing Application

Author(s):  
Gundugonti Kishore Kumar ◽  
Mahammad Firose Shaik ◽  
Vikram Kulkarni
Author(s):  
Harbi S. Jamila ◽  
Batool Daraam ◽  
Waseem M. Ali

Some image processing applications like segmentation need effective techniques that work as edge detection and extraction, many filters in this field fail to achieve the desired result and consequently the further processing fails, so it is needed sometimes to modify a technique to work in robust and effective way. In ultrasound, although it is a common and real-time non-destructive test methods, but processing and analyzing such images require special filters and modifications to overcome some weakness sides in this field, especially when scanning objects comparable to the acoustic wavelength. In this paper, two modified filters were suggested, first one is two-step unsharp filter, in this techniques the image was enhanced twice the first time the edges that extracted from the original scaled image where added back to the image, and in the second time the same edges were added to the scaled enhanced image. The second technique is summarized as adding back the Low-High and High-Low bands that were extracted previously from the original image by Haar wavelet transform to the image which reinforce its edges.


2013 ◽  
Vol 391 ◽  
pp. 564-567
Author(s):  
Cui Hong Ma ◽  
Yi Li ◽  
Ying Wang

Wavelet is a kind of mathematics tool rapid development in recent years and widely used in various areas of technology, Wavelet analysis of image processing is the most widely used and mature areas. Wavelet change based on the features, Using Matlab software, this paper analyses the wavelet in image decomposition, denoising, compression, reconstruction, etc . Concluded that the wavelet transform for image processing have ideal effect.


2013 ◽  
Vol 52 (12) ◽  
pp. 2932 ◽  
Author(s):  
Giorgia Parca ◽  
Pedro Teixeira ◽  
Antonio Teixeira

The article based totally on the MATLAB software program simulation was carried out on the image fusion; to design and develop a MATLAB based image processing application for fusing two images of the similar scene received through other modalities. The application is required to use Discrete Wavelet Transform (DWT) and Pulse Coupled Neural Network (PCNN) techniques. The comparison is to be performed on the results obtained on the above mentioned techniques.


Author(s):  
R. El Ayachi ◽  
B. Bouikhalene ◽  
M. Fakir

<p>The compression is a process of Image Processing which interested to change the information representation in order to reduce the stockage capacity and transmission time. In this work we propose a new image compression algorithm based on Haar wavelets by introducing a compression coefficient that controls the compression levels. This method reduces the complexity in obtaining the desired level of compression from the original image only and without using intermediate levels.</p>


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