On a Probabilistic Approach to Rate Control for Optimal Color Image Compression and Video Transmission
نویسندگان
چکیده
Based on a recently introduced Rate-Distortion model for color image compression, optimal color coding and bit allocation are derived. We show that this RateDistortion model in conjunction with the probability distribution of subband coefficients can be used to develop an efficient algorithm for coding color images and video sequences. We demonstrate this approach for subband coding using Discrete Cosine Transform (DCT) and a Laplacian distribution as the probability model. We show how the model can be used for rate-control, applicable to still images and to controlling the bit-rate or bandwidth of video transmission. Visual and quantitative results are presented and discussed to support the efficiency of our algorithms, which outperform presently available compression systems.
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