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filenames.txt
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Week1
Histogram Equalisation
8-after-func-histequal.png - Enhanced Image after performing Histogram Equalisation
using in-built OpenCV function
8-after-manual-histequal.png - Enhanced Image after performing Histogram Equalisation
using manually written Histogram Equalisation code
8-equalized-hist.png - Histogram of enhanced image
8-orig-hist.png - Histogram of original image
8.png - Original Image
histequal.py - Python OpenCV code containing Histogram Equalisation
algorithm
Histogram Matching
histmatch.py - Python OpenCV code containing Histogram Matching
algorithm
ref-orig-hist.png - Histogram of original reference image
ref.jpeg - Original Reference Image
target-after-hist-match.png - Enhanced Target Image after performing Histogram
Matching
target-match-hist.png - Histogram of target image after performing Histogram
Matching
target-orig-hist.png - Histogram of target original image
target.jpeg - Original Target Image
Week2
Double Plateaus Histogram Equalisation
1-clipped-freq-graph.png - Graph showing clipped frequencies of enhanced image
after performing Double Plateaus Histogram Equalisation
1-dphe-hist.png - Histogram of enhanced image
1-dphe-img.png - Enhanced Image
1-orig-hist.png - Histogram of original Image
1.png - Original Image
dphe.py - Python OpenCV code containing Double Plateaus Histogram
Equalisation algorithm
Top Hat Transform
128-tophat-img.png - Enhaced Image after performing Top Hat Transform
128.png - Original Image
tophat.py - Python OpenCV code containing Top Hat Transform algorithm
Week3
PSNR Calculation
88_dphe.png - Enhanced Image after DPHE
88_enhanced.png - Reference Image with which enhanced images using all
algorithms will be compared for PSNR calculation
88_he.png - Enhanced Image after HE
88_tophat.png - Enhanced Image after Top Hat Transform
88.png - Original Image on which 4 algorithms are applied
psnr_calculation.py - Python code containing PSNR calculation
psnr_comparison.txt - Text file containing PSNR values of the 4 algorithms
ref.jpeg - Reference image for DPHE, PSNR will be calculated for
DPHE using this image as reference
target-after-hist-match.jpeg - Enhanced Image after performing Histogram Matching
algorithm
Read Images
4119_binary.txt - Contains the image in binary format
4119_decimal.txt - Contains the grayscale values of each pixel in decimal
4119.png - Original Image
binary_conversion.py - Python code to convert image into binary format
decimal_conversion - Python code to convert image into decimal format
ReadImage.v - Verilog code to read and store image into the memory
Week4
Algorithms
dphe.v - Implementation of DPHE Algorithm on Vivado (Design)
HistEqual.v - Implementation of HE Algorithm on Vivado (Design)
matrix_to_image.py - Python code to convert binary format to an image
testbenchdphe.v - Implementation of DPHE Algorithm on Vivado (Testbench)
TestHistEqual.v - Implementation of HE Algorithm on Vivado (Testbench)
Images
4_190x150.png - Original image
4_binary_190x150.txt - Original image in binary format
4_DPHE_vivado.png - Output image of DPHE algorithm
4_DPHE_vivado.txt - Output image of DPHE algorithm in binary format
4_HE_vivado.png - Output image of HE algorithm
4_HE_vivado.txt - Output image of HE algorithm in binary format
4_Matlab.png - Enhanced image from MATLAB code, this will be used
as reference image to calculate PSNR values
[Same naming convention is followed for 3 more images]