Wavelet-Based Image Compression Using SPIHT and Windowed Huffman Coding with Limited Distinct Symbol and It's Variant

被引：0

作者：

Nandi, Utpal ^{[1
]}

Mandal, Jyotsna Kumar ^{[2
]}

机构：

[1] Vidyasagar Univ, Dept Comp Sci, Midnapore 721102, W Bengal, India

[2] Univ Kalyani, Dept Comp Sci & Engn, Nadia 741235, W Bengal, India

来源：

PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND COMMUNICATION | 2017年 / 458卷

关键词：

Compression; Wavelet transform; Compression ratio; Encoding time; Decompression;

D O I：

10.1007/978-981-10-2035-3_44

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A compression technique for image is proposed that is SPIHT algorithm based. Encoding of wavelet transformed quantized image is done using variants of Huffman coding. Comparisons are made among the binary un-coded SPIHT, SPIHT with Huffman coding, the proposed technique and its modified variant which show that the proposed techniques offer better PSNRs maintaining the same compression rates. But, the encoding time of the proposed techniques are slightly high.

引用

页码：435 / 441

页数：7

共 26 条

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