Efficient general-purpose image compression with binary tree predictive coding

J.A. Robinson

doi:10.1109/83.563325

Efficient general-purpose image compression with binary tree predictive coding

IEEE Transactions on Image Processing ◽

10.1109/83.563325 ◽

1997 ◽

Vol 6 (4) ◽

pp. 601-608 ◽

Cited By ~ 59

Author(s):

J.A. Robinson

Keyword(s):

Image Compression ◽

Binary Tree ◽

Predictive Coding ◽

General Purpose

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A Novel Meteosat Second Generation Image Compression Method Based on Radon Transform, Linear Predictive Coding with Filtering and Sorted Run Length Coding

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v10i4.5704 ◽

2015 ◽

Vol 10 (4) ◽

pp. 438 ◽

Cited By ~ 1

Author(s):

Mehdi Cherifi ◽

Mourad Lahdir ◽

Soltane Ameur

Keyword(s):

Image Compression ◽

Radon Transform ◽

Second Generation ◽

Predictive Coding ◽

Compression Method ◽

Linear Predictive Coding ◽

Run Length ◽

Run Length Coding

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Exploiting local colour dependencies in binary tree predictive coding

International Conference on Visual Information Engineering (VIE 2003). Ideas, Applications, Experience ◽

10.1049/cp:20030481 ◽

2003 ◽

Cited By ~ 1

Author(s):

J.A. Robinson

Keyword(s):

Binary Tree ◽

Predictive Coding

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MULTIPLE COMPONENT PREDICTIVE CODING OF IMAGES

International Journal of Wavelets Multiresolution and Information Processing ◽

10.1142/s0219691313500124 ◽

2013 ◽

Vol 11 (02) ◽

pp. 1350012 ◽

Cited By ~ 1

Author(s):

XIYUAN HU ◽

SILONG PENG ◽

WEN-LIANG HWANG

Keyword(s):

Image Compression ◽

Predictive Coding ◽

Input Image ◽

Prediction Algorithm ◽

Prediction Methods ◽

Separation Algorithm ◽

Current Block ◽

Image Separation ◽

Multiple Component ◽

Component Image

The conventional multiple component image compression approach separates the input image into several components, each of which is predicted and encoded independently. This approach creates redundancy because the prediction methods as well as the residual subcomponents must be transmitted. In this paper, we propose a new multiple-component predictive coding framework. First, we separate the reconstructed image into several subcomponents. Then, we use the previously encoded subcomponent to predict the current block, and then combine the prediction residuals of each subcomponent. To separate an image into multiple subcomponents, we designed a fast operator-based image separation algorithm. The numerical results demonstrate that the algorithm outperforms the H.264/AVC intra-frame prediction algorithm and the JPEG2000 algorithm on images with ample textures.

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On a predictive scheme for colour image quantization

Opto-Electronics Review ◽

10.2478/s11772-012-0023-0 ◽

2012 ◽

Vol 20 (2) ◽

Author(s):

Y. Hu ◽

W. Chen ◽

C. Lo ◽

C. Wu

Keyword(s):

Image Compression ◽

Predictive Coding ◽

The State ◽

Experimental Results ◽

Quantization Scheme ◽

Good Image ◽

Colour Image ◽

Image Quantization ◽

Colour Palette

AbstractIn this paper we proposed an improved colour image quantization scheme based on predictive coding. Since the neighbouring colour pixels are quite similar in most colour images, the similarity among the encoded pixels is exploited. In the proposed scheme the encoded distinct neighbouring colours are collected to form a smaller state-palette. If the closest colour in the state-palette is quite similar to the current encoding colour pixel, the index of the closest colour in the state-palette is recorded. Otherwise, the closest colour in original colour palette for the current encoding colour pixel is searched and the corresponding index is recorded. The experimental results show that the proposed method achieves good image qualities while requiring much lower bit rates for colour image compression.

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