2022
DOI: 10.1016/j.matpr.2021.10.297
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Adaptive histogram equalization of wavelet sub bands for the enhancement of contrast in aerial images

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Cited by 2 publications
(5 citation statements)
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“…However, since histogram equalization significantly changes the contrast of the image, it is easy to cause the loss of detail information [ 105 ]. In view of this situation, scholars at home and abroad have proposed many improved algorithms, such as adaptive histogram equalization [ 106 , 107 , 108 ] and unsharp mask method [ 109 ], which retain the details of the image and improve the effect of image enhancement. By enhancing the infrared thermal image, it is more advantageous to extract the feature parameters in the next step.…”
Section: The Flow Of Fault Diagnosis Methods For Rotating Machinery U...mentioning
confidence: 99%
“…However, since histogram equalization significantly changes the contrast of the image, it is easy to cause the loss of detail information [ 105 ]. In view of this situation, scholars at home and abroad have proposed many improved algorithms, such as adaptive histogram equalization [ 106 , 107 , 108 ] and unsharp mask method [ 109 ], which retain the details of the image and improve the effect of image enhancement. By enhancing the infrared thermal image, it is more advantageous to extract the feature parameters in the next step.…”
Section: The Flow Of Fault Diagnosis Methods For Rotating Machinery U...mentioning
confidence: 99%
“…f (i, j ) is the pixel value of F (x, y) at the point (i, j ), f (x, y) is the pixel value of F (x, y) at centre point (x, y). As can be seen from Equation (9), the larger the distance between pixels, the smaller d (i, j ) is, and the more significant the difference of the pixels in the image, the smaller r (i, j ) is. Hence, BF can not only smooth the filtered image but preserve the details of the image.…”
Section: Bilateral Filtermentioning
confidence: 99%
“…That is to say, image enhancement is an effective way to recover the quality of degraded images. Therefore, plenty of image enhancement approaches including histogram equalization [7][8][9], transformation domain-based [5,10,11], Retinex-based [12] and learning-based methods [13,14] have been put forward.…”
Section: Introductionmentioning
confidence: 99%
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