Paper Info
Title
Edge-Based Image Coding At Low Bit-Rate
Abstract
We propose a novel edge-based low bit-rate image codec. Although being edge based, the codec does not explicitly code the edge geometry. To avoid spending high bit budget on edges, a background layer of the image is first coded and transmitted, from which the decoder estimates the trajectories of significant edges. The edge regions are then refined by a residual coding technique based on edge dilation and sequential scanning in the edge direction. Experimental results show that the new image coding technique outperforms existing ones in both objective and perceptual quality, particularly at low bit rates.
Year
DOI
Venue
2010
10.1109/ICIP.2010.5650986
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING
Keywords
Field
DocType
pixel,decoder,image reconstruction,codecs,encoding,skeleton,transform coding
Iterative reconstruction,Computer vision,Dilation (morphology),Computer science,Transform coding,Artificial intelligence,Pixel,Low bit,Edge (geometry),Codec,Encoding (memory)
Conference
ISSN
Citations 
PageRank 
1522-4880
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Yi Niu14619.65
Xiaolin Wu23672286.80
Guangming Shi32663184.81
Xiaotian Wang4162.02