KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Settings

Author: search.filters.author.Attachoo, BoonwatSubject: search.filters.subject.Image enhancement

Search Results

Now showing 1 - 2 of 2
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Item,
    Linear filtering for optimized approach in satellite image enhancement
    (2010-11-11)
    Pattanasethanon, Petcharat
    ;
    Attachoo, Boonwat
    Problem statement: For decades, several image enhancement techniques have been proposed. Although most techniques require profuse amount of advance and critical steps, the result for the perceive image are not as satisfied. Approach: In this study, we proposed a new method to enhance the satellite image which compares two procedures using two different kinds of filtering technique with an additional step in order to obtain the perceived image. In this new algorithm we first transform the color image into grayscale. The image is then preceded to the edge detection and brightness enhancement step using Laplacian and Sobel technique individually. Results: From the results, the Tenengrad averred that the enhancement result of the dimension and depth in the image were successfully classified. We also evaluate the image quality, adjusting by the PSNR and Tenengrad criterion which indicates that the proposed method shows dramatically increase in pixel distribution throughout the range of RGB. Conclusion: The result of this research is also beneficial in terms of geographical views due to the process which determined the difference appeared on each area. Eventually, this research also performed a comparison for the enhancement step mentioned in this study. © 2010 Science Publications.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Item,
    A new approach for colored satellite image enhancement
    (2008-01-01)
    Attachoo, Boonwat
    ;
    Pattanasethanon, Petcharat
    A unique method of image filtering has been developed that enhances the detail and sharpens the edges of colored satellite images. Histogram equalization coupled with a two stage data filtering process that applies convolution with laplacian and sharpening with laplacaian through the 3 color bands that produce the colored satellite images has yielded sharper clearer images. The initial enhancement using histogram equalization was followed by the first stage of a filtering process convolution with laplacian which highlighted the edges of the image. The application of the second stage filtering sharpening with laplacian yielded enhanced color reproduction and a more accurate depiction of information at sea and land levels than was available in the original image. An analysis of the statistical index and signal to noise ratio of the true color and false color of histogram equalization, convolution with laplacian and sharpening images showed the image. An analysis of the false color of histogram equalization, convolution with laplacian and sharpening images showed the image to be superior, in this study the multi spectral content in the satellite image was transformed into a composite colour image, and then convoluted using the laplacian technique. This study placed an emphasis on improving the detail and edge clarity of satellite images. © 2008 IEEE.