Biological systems which store medical images should have high reliability in real time. This study explores the implementation of fault-tolerant systems using Magnetic Resonance Imaging (MRI) scan images with image enhancement algorithms. If some of the pixels in the image become faulty or erroneous, the accuracy of the information is lost and hence the necessity of fault-tolerant systems would be more important. The high-pass filters are used here to obtain edges in the images with hardware redundancy techniques like Triple Modular Redundancy (TMR) which are used to tolerate one single event error. The 5-MR methods are also explored to tolerate two errors. This is a kind of case study demonstrates with producing high frequency content even from the blurred input image. These biological systems are implemented on Altera EP4CE115F29C7 FPGA device using Quartus II synthesis software tool. A 7 × 7 high-pass filter consumes more number of logic elements (878), registers (821) and memory bits (10486) than 2 × 2, 3 × 3 and 5 × 5 filters.