Merging the transform step and the quantization step for Karhunen-Loeve transform based image compression

Breazu, Macarie; Beggs, B.J.; Toderean, Gavril; Mihu, I.P.

doi:10.1109/ijcnn.2000.861516

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…In 2000, Breazu et al 11 proposed a new architecture for compressing still images based on Karhunen-Loeve transform (KLT) implemented by NNs. The method was based on the well-known adaptability and learning abilities of the NNs.…”

Section: Transform Codingmentioning

confidence: 99%

Image Compression System for Mobile Communication: Advancement in the Recent Years

Reaz

Akter

Mohd-Yasin

2006

J CIRCUIT SYST COMP

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Mobile communication has a great potential to the users due to fulfilling the dreams of real-time multimedia communication like voice, image, and text. The huge amount of data redundancy in still image should be compressed using exact image compression algorithm (ICA) before transmitting via wireless channel. Thus, an ICA should be adaptive, simple, and cost-effective and suitable for feasible implementation. Hardware implementation of the different algorithms has improved using modern, fast, and cost-effective technologies. The main aim of this paper is to review and demonstrate various ICAs developed based on image transmission via wireless channel as well as their hardware implementation. Finally, this review makes bridge for researchers to the future relative studies between different algorithms and architectures, and stands as a reference point for developing more controlling and flexible structures.

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Section: Transform Codingmentioning

confidence: 99%

Image Compression System for Mobile Communication: Advancement in the Recent Years

Reaz

Akter

Mohd-Yasin

2006

J CIRCUIT SYST COMP

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Image compression using principal component neural networks

Costa

Fiori

2001

Image and Vision Computing

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Improving Karhunen-Loeve based transform coding by using square isometries

Breazu

Volovici

Mihu

et al.

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)

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In the paper we propose, for an image compression system based on the Karhunen-Loeve Transform implemented by neural networks, to take into consideration the 8 square isometries of an image block. The proper isometry applied puts the 8*8 square image block in a standard position, before applying the image block as input to the neural network architecture. The standard position is defined based on the variance of its four 4*4 sub-blocks (quadro partitioned) and brings the sub-block having the greatest variance in a specific comer and in another specific adjoining corner the sub-block having the second variance (if this is not possible the third is considered). The use of this "preprocessing" phase was expected to improve the learning and representation ability of the network and, therefore, to improve the compression results. Experimental results have proven that the expectations were fulfilled and the isometries are, from now, worth to be taken into consideration. '

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Merging the transform step and the quantization step for Karhunen-Loeve transform based image compression

Cited by 3 publications

References 5 publications

Image Compression System for Mobile Communication: Advancement in the Recent Years

Image Compression System for Mobile Communication: Advancement in the Recent Years

Image compression using principal component neural networks

Improving Karhunen-Loeve based transform coding by using square isometries

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