Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Shubhi Kansal"'
Autor:
Shubhi Kansal, Rajiv Kumar Tripathi
Publikováno v:
IET Image Processing. 14:1110-1119
Contrast enhancement of an image can be performed by using a simple histogram equalisation (HE) technique. However, there are some drawbacks of HE like immense brightness change, artificial effects, over-enhancement, which make it unsuitable to be us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::731c8dad63a896f485e4f99beb6f95cf
https://doi.org/10.1049/iet-ipr.2019.0106
https://doi.org/10.1049/iet-ipr.2019.0106
Autor:
Gagandeep Kaur, Shubhi Kansal
Publikováno v:
2021 Sixth International Conference on Image Information Processing (ICIIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9ed42eb66e783a2d2c5ffee3e0fb145
https://doi.org/10.1109/iciip53038.2021.9702641
https://doi.org/10.1109/iciip53038.2021.9702641
Autor:
Rajiv Kumar Tripathi, Shubhi Kansal
Publikováno v:
Arabian Journal for Science and Engineering. 45:1655-1668
An adaptive geometric filter approach based on average brightness of the image and discrete cosine transform (DCT) coefficient adjustment is proposed in this paper for gray and color image enhancement. Adaptive geometric filter is employed for smooth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb1bc25782b32e3723cabb58cfb50078
https://doi.org/10.1007/s13369-019-04151-8
https://doi.org/10.1007/s13369-019-04151-8
Publikováno v:
Signal, Image and Video Processing. 14:9-17
Most of the adaptive histogram equalization methods enhanced the image locally instead of global enhancement. In this paper, a global enhancement method is proposed which is based on modified probability density function and expected value of image i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecc3b47699466ed629ae8eb0d7b7597d
https://doi.org/10.1007/s11760-019-01516-2
https://doi.org/10.1007/s11760-019-01516-2
Autor:
Shubhi Kansal, Rajiv Kumar Tripathi
Publikováno v:
Multimedia Tools and Applications. 78:25241-25258
Contrast magnification is a critical parameter of image enhancement. Remote sensing images are distance captured images, so they naturally have very low contrast as compared to other images. In this paper a very simple and efficient technique based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dd2722ed53fb4b1ede34fc6ff1f7350
https://doi.org/10.1007/s11042-019-07744-5
https://doi.org/10.1007/s11042-019-07744-5
Publikováno v:
Multimedia Tools and Applications. 77:26919-26938
Contrast enhancement and Mean brightness conservation are two important parameters of image enhancement. A high contrast image is good in subjective quality assessment but also high contrast may cause over or under enhancement in the enhanced image.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e71adce510b527d676b7387fef99d1de
https://doi.org/10.1007/s11042-018-5894-8
https://doi.org/10.1007/s11042-018-5894-8
Publikováno v:
2018 3rd International Conference on Communication and Electronics Systems (ICCES).
Mean brightness conservation and enhancement of contrast are two important parameters of image enhancement. A high contrast image is good in subjective quality assessment. Entropy of an image represents the image contrast. Contrast can be well enhanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f3ad27e08927b22e310c6735c430900
https://doi.org/10.1109/cesys.2018.8724088
https://doi.org/10.1109/cesys.2018.8724088
Publikováno v:
ICSIPA
Histogram equalization is the simplest method of image enhancement. Mean brightness and contrast are important parameters of an image. Artifacts are generated if the original mean brightness of an image is not preserved. A high contrast provides good
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f3a057c6565b2935952036bf3e7ccc8
https://doi.org/10.1109/icsipa.2017.8120605
https://doi.org/10.1109/icsipa.2017.8120605