aalaa4444/image_histogram_analysis

Perform Histogram Analysis and perform various histogram-based enhancements, including histogram shift, histogram equalization, and contrast stretching. These techniques aim to improve the visual quality and enhance the contrast of digital images.

Histogram Analysis and Contrast stretching

1. Plot input image histogram.
   • that display the distribution of pixel intensities.
2. Histogram shift by value.
   • Shifts the histogram by a specified value, effectively changing the brightness or contrast of the image. This operation is useful for adjusting the overall brightness level.
3. Plot the cumulative image histogram
   • Computes and plots the cumulative histogram of the input image, providing insights into the cumulative distribution of pixel intensities.
4. Perform histogram equalization, This technique redistributes pixel intensities to achieve a more balanced histogram.
   • Plot equalized image
   • Plot equalized image histogram.
   • Plot equalized image cumulative histogram.
5. contrast stretching
   1. Using image histogram to deduce parameters for contrast stretching
      • Analyzes the image histogram to determine suitable parameters for contrast stretching, such as minimum and maximum intensity values.
   2. Apply contrast stretching on the corresponding image
      • Utilizes the deduced parameters to perform contrast stretching, expanding the dynamic range of pixel intensities to enhance image contrast and improve visual clarity.