Wavelet kernels on a DSP: a comparison between lifting and filter banks for image coding
EURASIP Journal on Applied Signal Processing
Image filtering in the compressed domain
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
A comparative study of DCT- and wavelet-based image coding
IEEE Transactions on Circuits and Systems for Video Technology
An efficient method for DCT-domain separable symmetric 2-D linear filtering
IEEE Transactions on Circuits and Systems for Video Technology
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Transcoding enables the transformation of multimedia content to adapt to a diverse nature of client/user requirements. In this paper, we propose a technique for transcoding wavelet coefficients to block DCT coefficients in the transform domain. In the first step, the wavelet coefficients are transformed into upsampled block DCT coefficients. Subsequently these transformed coefficients are synthesized by filtering in the block DCT space. To reduce the transcoding complexity, we perform upsampling and filtering operations in a single combined step. The proposed transcoding approach restricts all operations of the synthesis process in the block DCT space. The proposed approach achieves the same quality of reconstruction (Except rounding errors in processing) as that of spatial domain technique with reduced complexity for a given wavelet synthesis filter bank.