Volume & Issue no: Volume 4, Issue 4, July - August 2015
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Title: |
Contrast Enhancement Using Dominant Brightness
Level Analysis and Adaptive Intensity Transformation for Remote Sensing Images |
Author Name: |
Prafullita Patil, Dr. A. M. Patil |
Abstract: |
Abstract
Image enhancement improves the quality of poor images.
Distinctive procedures have been projected so far for getting
better the feature of the digital images such as remote sensing
images. A new satellite image contrast enhancement technique
based on the Discrete wavelet transform (DWT),
Brightness level analysis and Adaptive Intensity
Transformation has been proposed. By the use of discrete
wavelet transform wavelet transform, the input image
decomposed into four directional sub-bands and the
brightness level is computed in the LL subband using log
average luminance. Based on the brightness level LL
decomposes into low, middle and high intensity layers. Then
Adaptive Intensity Transformation is applied to each
decomposed layer of the image and reconstructs the enhanced
image by applying inverse DWT. Out of various contrast
enhancement approaches have been proposed in the literature,
proposed algo- rithm overcomes the problems using the
Lapped Transform func- tion. The experimental results show
that the proposed algorithm enhances the overall contrast and
visibility of local details better than existing techniques. The
proposed method can effectively enhance any low-contrast
images acquired by a satellite camera and are also suitable for
other various imaging devices such as consumer digital
cameras, photorealistic3-D reconstruction systems, and
computational cameras.
Index Terms:-dominant brightness level analysis,
Adaptive intensity transfer function(AITF), contrast
enhancement (CE), discrete wavelet transform (DWT),
remote sensing images. |
Cite this article: |
Prafullita Patil, Dr. A. M. Patil , "
Contrast Enhancement Using Dominant Brightness
Level Analysis and Adaptive Intensity Transformation for Remote Sensing Images" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 4, July - August 2015 , pp.
057-061 , ISSN 2278-6856.
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