AERSCIEA : An Efficient and Robust Satellite Color Image Enhancement Approach

• Autorzy: Bora Dibya Jyoti

Identyfikatory

DOI

10.15439/2017R53

• Konferencja: The Second International Conference on Research in Intelligent and Computing in Engineering
• Języki publikacji: EN

Abstrakty

EN

Image enhancement is an important preprocessing step in any image analysis process. It helps to catalyze the further image analysis process like Image segmentation. In this paper, an approach for satellite color image enhancement on HSV color space is introduced. Here, local contrast management is given main focus because noises exist on local regions are found over amplified when enhancement is done through global enhancement technique like histogram equalization. The color arrangement and computations are done in HSV color space. The V-channel has been extracted for the enhancement process as this is the channel which represents the intensity and thereby represents the luminance of an image. At first, the image is normalized to stabilize the pixel distribution. The normalized image channel is analyzed with Binary Search Based CLAHE (BSB-CLAHE) for local contrast enhancement. The results obtained from the experiments prove the superiority of the proposed approach.

Słowa kluczowe

EN

binary search; CLAHE; color image enhancement; HSV Color Space; histogram equalization; image normalization; multispectral image; MSE; PSNR; RGB Color Space

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2017
• Tom: Vol. 10
• Strony: 3--13
• Opis fizyczny: Bibliogr. 28 poz., fot., rys., tab., wykr.

Twórcy

autor

Bora Dibya Jyoti

• Department of Computer Science and Applications, Barkatullah University, Bhopal, India

Bibliografia

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