OPTIMIZED DECODING FOR IMAGE COMPRESSION ALGORITHMS
Original Publication Date: 1999-Sep-01
Included in the Prior Art Database: 2002-Aug-26
Most of Image Compression standards and algo- rithms (for photographic as well as moving pic- tures), e.g. H.261, H.263, JPEG, MPEGl,2,4 etc. use Discrete Cosine Transforms (DCT) to remove spatial redundancy. These algorithms use DCT and Inverse Discrete Cosine Transforms (IDCT) mod- ules in an encoder, and a IDCT module in a decoder. The IDCT module is one of the computation inten- sive blocks in the encoder as well as in the decoder. This paper exploits the low frequency content of the input to an IDCT module to increase the computa- tion speed of the encoder and the decoder. Various simulations have indicated significant improvement in the computation speed of the encoder and the decoder.