Some Image Processing Algorithms implemented in cpp .

-> Conversion to grayscale

This readme will be updated after some cleanup of code stay tuned

Lets convert the following image to grayscale :

In this method we take the average value of the pixel values R,G,B to get the gray-scale pixel .

grayscale = R+G+B/3

The result we get is as follows :

Which looks good wnough but is not perfect .

In this method we take the average value of the components with highest and lowest value . i.e.

grayscale = {min(R,G,B) + max(R,G,B)} / 2 (pixel intensity)

The result we get with this method is as follows :

Which is not very accurate and actually seems to be the worst method till now.

The best method is the luminosity method that successfully solves the problems of previous methods.

Based on the aforementioned observations, we should take a weighted average of the components. The contribution of blue to the final value should decrease, and the contribution of green should increase. After some experiments and more in-depth analysis, researchers have concluded in the equation below:

grayscale = (0.3 * R + 0.59 * G + 0.11 * B)/3

Here most weight is given to green colored pixels as humans are said to percieve green light well .

This is the best method for grayscale inversion .

The formula used for the flip is illustrated below

Here we exchange the pixels marked with similar colour . The formula used to find similar pixels is given below.

Similarly the same logic is used for vertical flip and we get the following result . Here y will go till h/2.