• Ruchi Gautam
• Madan Kushwaha

The aim of image enhancement is to improve the interpretability or perception of information in images for human viewing or to provide ‘better’ input for other automated image processing techniques. Various Histogram Equalization techniques like CHE, GHE, BBHE, DSIHE, RMSHE and Multi-HE techniques are used for processing the image input to enhance its output. This paper proposes a novel modification of the brightness preserving dynamic histogram equalization technique to improve its brightness preserving and contrast enhancement abilities while reducing its computational complexity. The modified technique, called Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE1), uses fuzzy statistics of digital images for their representation and processing.

GHE, BBHE, Fuzzy Logic, BPDFHE.

"Image Histogram Equalization using Fuzzy Logic for Contrast Enhancement ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.514-518, June-2019, Available :http://www.jetir.org/papers/JETIR1906656.pdf

"Image Histogram Equalization using Fuzzy Logic for Contrast Enhancement ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp514-518, June-2019, Available at : http://www.jetir.org/papers/JETIR1906656.pdf