Image Processing Algorithms Implemented in FPGAs

In this paper, we implemented two simple image processing algorithms in the MATLAB environment and then in the FPGA, and then we compared the results in terms of accuracy and execution time. The first algorithm deals with the pseudo-coloring of a monochrome image of 256 x 256 pixels, by assigning to each pixel in the original image three other values, corresponding to the RGB matrices in the colored image. The assignment of these values was based on a conversion table that generates 16 different colors in the HOT color scale. The second algorithm generates the negative image of the monochrome image by calculating the new values of the pixels making the difference between 255 and their initial value. For each algorithm discussed here, the images obtained in MATLAB R2014a are compared with those obtained in the Xilinx ISE 14.7 environment in terms of accuracy and execution speed.