• Ch.N.V.Tirumala
• k. Padma Priya

Low contrast, color variation, and blur are common characteristics of images taken in sand-dust conditions, all of which have a negative impact on the image's clarity. In this paper explains a pixel-adaptive color correction technique that makes use of chromatic histograms. The statistical properties of the green component are used to alter the pixels of each color component. Then, a color normalizing method that maintains the green mean is provided. Further, the hue, saturation, and intensity components are identified from the same samples to enhance the detail information of the image. This is done using the luminance chrominance (YCbCr) color space approach. The luminance component is improved using CLAHE to produce the result, which is known as L-CLAHE. The proposed method may greatly improve the images taken during sand-dust weather conditions, and the results are better than those of previous methods, according to experimental data from quantitative evaluations.

Sand-dust image enhancement, color normalization, green-mean preserving, color pixels shifting, L-CLAHE

"Sand Dust Image Enhancement using Histogram and L-CLAHE Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 10, page no.d431-d436, October-2022, Available :http://www.jetir.org/papers/JETIR2210367.pdf

"Sand Dust Image Enhancement using Histogram and L-CLAHE Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 10, page no. ppd431-d436, October-2022, Available at : http://www.jetir.org/papers/JETIR2210367.pdf