Image processing applications often require error-tolerant adders to ensure accurate computation despite potential hardware faults. Field-programmable gate array (FPGA) technology, coupled with very large-scale integration (VLSI) techniques, offers a versatile platform for implementing such adders. Contribution a new error-tolerant adder designed explicitly for image processing applications is proposed. Our methodology leverages the inherent reconfigurability of FPGAs to dynamically adapt to changing error patterns, thereby enhancing fault tolerance. By employing redundant computing resources and error detection/correction mechanisms at various stages of the adder architecture, we mitigate the impact of transient errors and aging-related faults. To validate the effectiveness of our approach, we conduct extensive simulations and synthesis experiments using XILINX software. The results demonstrate significant improvements in error tolerance compared to conventional adder designs, making our proposed architecture well-suited for demanding image processing applications in safety–critical environments. Overall, our work contributes to advancing the state-of-the-art error-tolerant computing for FPGA-based image processing systems.