John Ponte wrote: Hi Amit, To convert back you just have to know what your width and height is. An image has a width and a height but a data table has some number of rows and columns. But the number of columns corresponds to the number of unique variables, not to one of the dimensions of the image. If you use the code I gave you previously, then you know the width and the height from the original image. If you don't still have those values but you know you created the data table from the code above, then you could look for the max value in both the X and Y columns and that would give you your width (max Y) and your height (max X). Using that technique, there is an assumption about the values in those two columns, but we know that assumption is true if you created the data table per the code above. So, with that in mind, here is the code to re-create the image: // Reverse process - re-create the image from the data table // Create three matrices (for pixel colors) r2 = J(numRows, numCols); g2 = J(numRows, numCols); b2 = J(numRows, numCols); // Save the r, g, b values for each pixel for each row ( r2[:y, :x] = :R; g2[:y, :x] = :G; b2[:y, :x] = :B; ); // Save new image img2 = NewImage("rgb", {r2, g2, b2}); img2 << saveImage("C:\JMP\images\newImage.png", png); Notice I use a '2' in front of the variables. You could just reuse the same variables as before, but I wanted to test my code and make sure it worked. If you reused the same variables you would not need to worry about width and height or create the matrices again. There might actually be a more efficient way of doing this but this is the solution that hit me off the top of my head. Also, notice I save the image as a PNG. You could use a different format as well, such as JPG. BTW - my email is John.Ponte@jmp.com Enjoy!
... View more
