On the Representation of Wideband Images Using Permutations for Lossless Coding

14 years 3 months ago

Download www.ivpcl.org

We introduce a novel method for representing and coding wideband signals using permutations. The signal samples are ﬁrst sorted, and then encoded using Differential Pulse Coding Modulation. We show that our method is optimal for DPCM coding and develop a novel algorithm for encoding the permutation information efﬁciently. We show that the new algorithm achieves coding gains over Huffman coding.

Marios S. Pattichis, Alan C. Bovik, John W. Havlic

Real-time Traffic

DPCM Coding | Huffman Coding | Image Analysis | Pulse Coding Modulation | SSIAI 2000 |

claim paper

» Lossless Image Compression Using Pixel Reordering

» Optimal structure of memory models for lossless compression of binary image contours

» Efficient Representation and Decoding of Static Huffman Code Tables in a Very Low Bit Rate...

» Interleaved SP pyramidal decomposition with refined prediction model

» Lossless Compression of Already Compressed Textures

» Scalable coding of variable size blocks motion vectors

» Modeling Content Identification from Document Images

» 3D Scalable Medical Image Compression With Optimized Volume of Interest Coding

Post Info
More Details (n/a)

Added	01 Aug 2010
Updated	01 Aug 2010
Type	Conference
Year	2000
Where	SSIAI
Authors	Marios S. Pattichis, Alan C. Bovik, John W. Havlicek, Nicholas D. Sidiropoulos

Comments (0)

Sciweavers

On the Representation of Wideband Images Using Permutations for Lossless Coding

DPCM Coding | Huffman Coding | Image Analysis | Pulse Coding Modulation | SSIAI 2000 |

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers