A novel image compression method based on classified energy and pattern building blocks

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Tarih

2011

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Yayıncı

Springer International Publishing AG

Erişim Hakkı

info:eu-repo/semantics/openAccess

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Özet

In this paper, a novel image compression method based on generation of the so-called classified energy and pattern blocks (CEPB) is introduced and evaluation results are presented. The CEPB is constructed using the training images and then located at both the transmitter and receiver sides of the communication system. Then the energy and pattern blocks of input images to be reconstructed are determined by the same way in the construction of the CEPB. This process is also associated with a matching procedure to determine the index numbers of the classified energy and pattern blocks in the CEPB which best represents (matches) the energy and pattern blocks of the input images. Encoding parameters are block scaling coefficient and index numbers of energy and pattern blocks determined for each block of the input images. These parameters are sent from the transmitter part to the receiver part and the classified energy and pattern blocks associated with the index numbers are pulled from the CEPB. Then the input image is reconstructed block by block in the receiver part using a mathematical model that is proposed. Evaluation results show that the method provides considerable image compression ratios and image quality even at low bit rates.

Açıklama

Anahtar Kelimeler

Principal Component Extraction, Wavelet Transform, Space, Electrocardiography, Data compression, Signal compression, Building blockes, Encoding parameters, Evaluation results, Image compression methods, Index numbers, Input image, Low bit rate, Scaling coefficients, Training image, Transmitter and receiver, Communication systems, Image coding, Image quality, Mathematical models, Transmitters, Image compression

Kaynak

EURASIP Journal on Advances in Signal Processing

WoS Q Değeri

Q3

Scopus Q Değeri

Q2

Cilt

2011

Sayı

Künye

Güz, Ü. (2011). A novel image compression method based on classified energy and pattern building blocks. Eurasip Journal on Advances in Signal Processing, 2011, 1-20. doi:10.1155/2011/730694