Penerapan Metode Median Filtering untuk Optimasi Deteksi Wajah pada Foto Digital

Face detection in digital photos aims to get the face area photo. Problems often occur when detecting faces, namely there is a lot of noise so that it affects process. Therefore, this study apply median filtering method improve by reducing be tested. The advantage using filter keep edges smooth while which image quality. ability measured parameters Mean Square Error (MSE) and Peak Noise Signal Ratio (PNSR). When MSE value obtained low PNSR high, results can said good. used detect faces research, viola-jones, was chosen because one procedures with high level accuracy good computational ability. sample consisted 10 taken Samsung A11 smartphone camera resolution 13 mega pixels 8 JPEG format. are best error values 0.9517 PSNR 24.2804. Based on these results, concluded mean feasible case photo