New trends in despeckling: undecimated-wavelet shrinkage and fuzzy matching-pursuits estimation

2002 ◽  
Author(s):  
Bruno Aiazzi ◽  
Luciano Alparone ◽  
Fabrizio Argenti ◽  
Stefano Baronti
2002 ◽  
Author(s):  
Bruno Aiazzi ◽  
Luciano Alparone ◽  
Stefano Baronti ◽  
Massimo Bianchini

Author(s):  
Ashish Dwivedi ◽  
Nirupma Tiwari

Image enhancement (IE) is very important in the field where visual appearance of an image is the main. Image enhancement is the process of improving the image in such a way that the resulting or output image is more suitable than the original image for specific task. With the help of image enhancement process the quality of image can be improved to get good quality images so that they can be clear for human perception or for the further analysis done by machines.Image enhancement method enhances the quality, visual appearance, improves clarity of images, removes blurring and noise, increases contrast and reveals details. The aim of this paper is to study and determine limitations of the existing IE techniques. This paper will provide an overview of different IE techniques commonly used. We Applied DWT on original RGB image then we applied FHE (Fuzzy Histogram Equalization) after DWT we have done the wavelet shrinkage on Three bands (LH, HL, HH). After that we fuse the shrinkage image and FHE image together and we get the enhance image.


2012 ◽  
Vol 92 (10) ◽  
pp. 2532-2544 ◽  
Author(s):  
Manuel Moussallam ◽  
Laurent Daudet ◽  
Gaël Richard
Keyword(s):  

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