Transformation and dynamic visualization of images from computer through an FPGA in a matrix of LED

Around the transformations [11], extraction of characteristics [12] or any other type of massive matrix operation, object detection and recognition and route planning, Programmable Logic Devices (PLD) have been used, since they require low power and a small amount of space to work [13, 14] in addition to having the ability to perform real-time implementations, working with static and moving images [15], which requires thousands of iterations per second, with maximum use of FPGA resources, both in the combinatorial part (LUT) as in its storage part (memory bank), making efficient the implementations made with this type of devices [16, 17]. The flexibility and performance of hardware development using standard hardware description languages, regardless of the size and architectures of different FPGA's, offers the possibility to test and compare different algorithm resolution methods, which could give different solutions and indicate what family and what architecture would be the most appropriate to use in digital image processing applications [22, 23], using the combination of Soft Cores together with hardware designed to accelerate information processing. The work done begins with the design of a software script on the personal computer, which sends the data of the digital image in binary-ascii format through a serial port emulated towards the FPGA, after that, the programmable logic device processes the information, sends the data to a power system that supports the electrical requirements at the speed required by the array of LEDs and in this way the correct visualization of the information is made. 3.Implementation and Results The first part of the work is shown in the following code, the script reads different formats of images (jpg, png and gif), it will make the conversion to a matrix of valor to create the ROM file, it will be read for the FPGA and put in to LED matrix. imread () /imshow () to verify that it is in full form for processing. im = imread('Mario_8bits.PNG'); figure () imshow(im) In the following code segment, to scale the image the imresize () function is used, which gives us the facility of scaling the value of a square or rectangular matrix to the size to be visualized in the array of LEDs, a bicubic interpolation algorithm was used, a process that guarantees that do not drastically change the information that will be sent to the FPGA. im_small = imresize(im, [32 32], 'cubic'); figure () imshow(im_small) The next code shown that the ma