2013
DOI: 10.9790/2834-0862024
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Block Based Enhancement of Satellite Images using Sharpness Indexed Filtering

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Cited by 4 publications
(5 citation statements)
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“…A dynamic wavelet-based algorithm [29] was applied to enhance the mammograms. The Discrete Wavelet Transform (DWT)-based method was used because of its low computational complexity and special transformed domain properties [30].…”
Section: Mammogram Enhancement and Patch Extractionmentioning
confidence: 99%
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“…A dynamic wavelet-based algorithm [29] was applied to enhance the mammograms. The Discrete Wavelet Transform (DWT)-based method was used because of its low computational complexity and special transformed domain properties [30].…”
Section: Mammogram Enhancement and Patch Extractionmentioning
confidence: 99%
“…The log-energies of the vertical, horizontal, and diagonal sub-bands at each decomposition level were calculated followed by measuring the total log-energy (TLE) of each level. Subsequently, by combining the TLE of each decomposition level [29], the Scalar Sharpness Index (SSI) was calculated. The SSI was later used to estimate the overall sharpness of the images.…”
Section: Mammogram Enhancement and Patch Extractionmentioning
confidence: 99%
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“…Scalar Index is computed as weighted average of the log energies which are computed in the earlier step. The Values of (12), (13) and (14) are stored in LH, HL and HH respectively. The total Log energy at each level is computed as TLEn = ((1-W)*((LH+HL)/2)) + (W*HH) (15) Here the 'W' is the weight and is considered as 0.8 in our work.…”
Section: Block Based Enhancementmentioning
confidence: 99%
“…For example in Figure a. we have taken a hazy underwater image and computed the result with different block sizes. We have done experiments on various block sizes and the optimal block size for an image should be greater than 120 and Less than 150 and moreover it depends upon the haze present in the image [13].…”
Section: Block Based Enhancementmentioning
confidence: 99%