This document presents an efficient filtering technique for denoising color images. The technique uses gradient-based color interpolation to estimate missing color values while also removing noise. It filters noise based on calculating first- and second-order gradients to identify noisy pixels versus edge pixels. The red color component is used for interpolation to optimize computations. Testing on a sample image shows the technique improves signal-to-noise ratio from 17.09 to 33.16 by effectively removing noise while retaining image details. The method has potential for applications in defense and civilian imaging systems by enhancing image quality.