A system for reducing noise in video processing, the system comprising: a data storage configured to store a model human visual system; an input module configured to receive an original picture in a video sequence and to receive a reference picture in the video sequence; a processor configured to: create a pixel map of the original picture using the model human visual system; determine a noise layer from the pixel map using the model human visual system, wherein the noise layer comprises a spatial noise value for each pixel based on a model of human spatial perceptibility; determine a motion compensated difference between the original picture and the reference picture; determine a first weighting map from the motion compensated difference between the original picture and the reference picture, wherein the first weighting map includes a value for each pixel identifying a level of difficulty for visual perception and/or a level of difficulty for compression based on a model of human temporal perceptibility; characterized in that the processor is further configured to: form a modified noise layer by multiplying the noise layer by the first weighting map, wherein the modified noise layer includes a value for each pixel in the modified noise layer based on the model of human spatial perceptibility, and each value in the modified noise layer indicates a level of difficulty for compressing and perceiving the pixel; and determine a cleaned picture from the original picture by subtracting pixel values of the modified noise layer from pixel values of the original picture. a data storage configured to store a model human visual system; an input module configured to receive an original picture in a video sequence and to receive a reference picture in the video sequence; a processor configured to: create a pixel map of the original picture using the model human visual system; determine a noise layer from the pixel map using the model human visual system, wherein the noise layer comprises a spatial noise value for each pixel based on a model of human spatial perceptibility; determine a motion compensated difference between the original picture and the reference picture; determine a first weighting map from the motion compensated difference between the original picture and the reference picture, wherein the first weighting map includes a value for each pixel identifying a level of difficulty for visual perception and/or a level of difficulty for compression based on a model of human temporal perceptibility; characterized in that the processor is further configured to: form a modified noise layer by multiplying the noise layer by the first weighting map, wherein the modified noise layer includes a value for each pixel in the modified noise layer based on the model of human spatial perceptibility, and each value in the modified noise layer indicates a level of difficulty for compressing and perceiving the pixel; and determine a cleaned picture from the original picture by subtracting pixel values of the modified noise layer from pixel values of the original picture. create a pixel map of the original picture using the model human visual system; determine a noise layer from the pixel map using the model human visual system, wherein the noise layer comprises a spatial noise value for each pixel based on a model of human spatial perceptibility; determine a motion compensated difference between the original picture and the reference picture; determine a first weighting map from the motion compensated difference between the original picture and the reference picture, wherein the first weighting map includes a value for each pixel identifying a level of difficulty for visual perception and/or a level of difficulty for compression based on a model of human temporal perceptibility; characterized in that the processor is further configured to: form a modified noise layer by multiplying the noise layer by the first weighting map, wherein the modified noise layer includes a value for each pixel in the modified noise layer based on the model of human spatial perceptibility, and each value in the modified noise layer indicates a level of difficulty for compressing and perceiving the pixel; and determine a cleaned picture from the original picture by subtracting pixel values of the modified noise layer from pixel values of the original picture. form a modified noise layer by multiplying the noise layer by the first weighting map, wherein the modified noise layer includes a value for each pixel in the modified noise layer based on the model of human spatial perceptibility, and each value in the modified noise layer indicates a level of difficulty for compressing and perceiving the pixel; and determine a cleaned picture from the original picture by subtracting pixel values of the modified noise layer from pixel values of the original picture.