Abstract: A method and apparatus for adaptive feature of interest color model parameters estimation are provided. The apparatus includes a feature of interest color model parameters estimator and a feature of interest detector. The feature of interest color model parameters estimator is for extracting at least one set of pixels from at least one image. The at least one set of pixels corresponds to a feature of interest. For each of the at least one set of pixels, the feature of interest color model parameters estimator models color components of pixels in the at least one set with statistical models, and estimates feature of interest color model parameters based on the modeled color components to obtain at least one estimated feature of interest color model. The feature of interest detector is for detecting feature of interest pixels from the at least one set of pixels using the at least one estimated feature of interest color model.

Abstract: Film grain is simulated in an output image using pre-established blocks of film grain from a pool of pre-established blocks. Successive film grain blocks are selected by matching the average intensity of a block from the pool to the average intensity of a successive one of a set of M×N pixels in an incoming image. Once all of the successive pixel blocks from the image are matched to selected film grain blocks, the selected film grain blocks are “mosaiced”, that is composited into a larger image mapped to the incoming image.