We propose a blind-pixel detection method based on Visual Features-Statistics(VFS), which efficiently locate random bad pixels and fixed bad pixels, which including two steps. First of all, we input one image into our system. An initial detection method based on the visual characteristics is used on the image, which is used to mark the location of the pixel obviously below or higher than the other pixel values. Second, as the multi frame images are read in, the pixel position information is accumulated. At this very moment, we obtain the position weight and its histogram information. According to the confidence coefficient of the weight histogram, the blind-pixel was divided into three grades: grade 1 blind-pixels, grade 2 blind-pixels and graded 3 blind-pixels, in which, grade 3 are normal pixels. We classify the grades by the confidence boundary 0.99 and 0.95. We compensation different grade blind-pixels to meet our demand in image. By experiment, we found that our method based on visual features have detected the blind-pixels accurately, and used for many occasion. At the same time, our method maintains more details and point target information, which is suitable for software and hardware implementation.
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