Model-Based Detection and Correction of Corrupted Wavelet Coefficients

Image decomposition based on the discrete wavelet transform (DWT) has been proposed for efficient storage and progressive transmission of images for visual browsing in digital image libraries. Although the compression aspects of the DWT have been carefully researched, reconstruction errors due to corrupted wavelet coefficients have received less attention. In this paper we consider the problem of bit errors affecting uniformly quantized wavelet coefficients. The proposed method, which is based on a local image model, simultaneously detects and masks corrupted wavelet coefficients. 1 Introduction Image compression schemes often include, as a final stage of processing, a variable word length coding operation. The bit stream generated thus consists of words which can only be unambiguously decoded, if they correspond to codebook entries. In such a situation bit errors can have a potentially catastrophic effect upon the reconstructed image. Traditional forward error correcting methods of..