Discrete cosine transform: algorithms, advantages, applications
Discrete cosine transform: algorithms, advantages, applications
JPEG Still Image Data Compression Standard
JPEG Still Image Data Compression Standard
A New Unified Lossless/Lossy Image Compression Based on a New Integer DCT
IEICE - Transactions on Information and Systems
IEEE Transactions on Signal Processing
Fast multiplierless approximations of the DCT with the liftingscheme
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Variable data rate (VDR) network congestion control (NCC) applied to voice/audio communication
Computer Networks: The International Journal of Computer and Telecommunications Networking
Asynchronous realization of algebraic integer-based 2D DCT using achronix speedster SPD60 FPGA
Journal of Control Science and Engineering - Special issue on Hardware Implementation of Digital Signal Processing Algorithms
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A discrete cosine transform (DCT) can be easily implemented in software and hardware for the JPEG and MPEG formats. However, even though some integer DCTs (IntDCTs) for lossless-to-lossy image coding have been proposed, such transform requires redesigned devices. This paper proposes a hardware-friendly IntDCT that can be applied to both lossless and lossy coding. Our IntDCT is implemented by direct-lifting of DCT and inverse DCT (IDCT). Consequently, any existing DCT device can be directly applied to every lifting block. Although our method requires a small side information block (SIB), it is validated by its application to lossless-to-lossy image coding.