Histogram equalization is a widely-used nonlinear transformation (Fig. 5-19). It is achieved by using the Cumulative Distribution Function (CDF) of the image as the transformation function, after appropriate sc
Table 4 presents the evaluation of 30 test images, demonstrating that the BHE3PL consistently yields EME values closely aligned with the input image for 28 of these, outperforming other traditional histogram equalization methods. For example, as shown in Image 1 , the EME value of BHE3PL is 2.1...
The data hiding capacity of the HSV can be improved by applying a histogram stretching technique (or histogram equalization) that consequently increases the difference between the LBV and the UBV of an image histogram or HSV can be applied in small pieces of image to increase the capacity (Fig...
[8], histogram equalization and linear compression. Middle row: amplified regions of the images above them. Bottom row: tone mapping curves of these used methods for the image. Radiance map courtesy Karol Myszkowski. Adaptive local histogram adjustment(ALHA) –Characteristic of HALEQ • ...
Histogram Equalization Histogram operations modify the brightness response curve of an image and alter the distribution of contrast within the spectrum of dark to bright pixels. One of the most important operations is histogram equalization, which modifies the response curve nonlinearly by distributing the...