International Journal of Engineering Research in Electronics and Communication Engineering (IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume3,June 2016,

Topic : A Hybrid Scheme of EDBTC Encoding and CHF BHF Extraction for Image Ret Rival Process

Authors:Vineetha Deepti || Pramila B

Abstract:This paper presents a new approach to derive the image feature descriptor from the Error-diffusion based block truncation coding (EDBTC) compressed data stream. In the encoding step, EDBTC compresses an image block into corresponding quantizers and bitmap image using vector quantizer(VQ). Two image features are proposed to index an image, namely, color co-occurrence feature (CCF) and bit pattern features (BPF), which are generated directly from the EDBTC encoded data streams without performing the decoding process. The CCF and BPF of an image are simply derived from the two EDBTC quantizers and bitmap, respectively, by involving the visual codebook. Experimental results show that the proposed method is superior to the block truncation coding image retrieval systems and the other earlier methods, and thus prove that the EDBTC scheme is not only suited for image compression, because of its simplicity, but also offers a simple and effective descriptor to index images in CBIR system. EDBTC method is extremely fast and the image quality achieved is comparable to the previous BTC method. This proposed system is implemented in MATLAB..

Keywords: Content-based image retrieval (CBIR), Bit pattern feature, color co-occurrence feature, content-based image retrieval, error diffusion block truncation coding(EDBTC) vector quantization (VQ).

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DOI: 01.1617/vol3iss6pid331


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Editor-in-Chief

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


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IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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