📝 Abstract

The color histogram equalization methods are playing a major role in the image processing or image enhancement technique. The major problem of color histogram equalization method of SVM is that it does not yield uniform histogram in gray scale transformation of 3D DWT. With the use of Conventional Histogram Equalization Method the gray levels are uniformly distributed to the entire range of an image, and it also increases contrast of the image. Satellite images taken during the night time contains less details compare to images taken during the day time. The night time taken images are dark and so their details are hidden. This problem can be handled with the help of Homomorphic Filters.

🏷️ Keywords

HEcontrast EnhancementCHE with DQHEPLHomomorphic Filters
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Citation

R.Kathirvel Dr.J.Sundararajan. (2022). 3D-Discrete Wavelet Transform with adaptive histogram equalization for the enhancement of grayscale satellite image using Homomorphic Filtering. Cithara Journal, 62(6). ISSN: 0009-7527