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Chroma-key is an application which is used many in video industries, TV programs. In this paper, we present an efficient algorithm for Chroma-key and its FPGA implementation. In the proposed method, we firstly employ K-means to segment input frames in to a trimap including background, foreground, and unknown regions. In the next stage, we utilize comparison of confident neighborhood pixels to refine unknown region to separate background and foreground regions. In order to apply the proposed algorithm for real-time chroma-key effect, we implement its VLSI architecture on Bitec Cyclone III development board. Our design is able to perform Chroma-key process with pleasing quality HD video in real-time.

this paper presents a new image denoising method using block classification in Contourlet domain. The noise image is divided into 8x8 blocks. These blocks can be decomposed by the Contourlet into directional subbands while the block classification method provides the directional feature of input blocks. Based on this directional information, we propose the different thresholding processes with each input block. Thus, the new denoising algorithm proposed achieves better tradeoff between details retain and noises removal. Several experimental results show that the proposed new function is very effective and gives better performance both in terms of PSNR and in visual quality.