High compression efficiency image compression algorithm based on subsampling for capsule endoscopy

In this paper, a simple image compression algorithm is proposed for wireless capsule endoscopy. The proposed algorithm consists of new simplified YUV colour space, corner clipping, uniform quantization, subsampling, differential pulse code modulation and Golomb Rice code. Simplified YUV colour space...

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Vydané v:Multimedia tools and applications Ročník 80; číslo 14; s. 22163 - 22175
Hlavní autori: Malathkar, Nithin Varma, Soni, Surender Kumar
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Springer US 01.06.2021
Springer Nature B.V
Predmet:
Algorithms
Color
Compression ratio
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Differential pulse code modulation
Endoscopy
Image compression
Measurement
Multimedia Information Systems
Pulse code modulation
Signal to noise ratio
Special Purpose and Application-Based Systems
YUV colour space
Capsule endoscopy
Uniform quantization
DPCM
Subsampling
ISSN:1380-7501, 1573-7721
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Shrnutí:In this paper, a simple image compression algorithm is proposed for wireless capsule endoscopy. The proposed algorithm consists of new simplified YUV colour space, corner clipping, uniform quantization, subsampling, differential pulse code modulation and Golomb Rice code. Simplified YUV colour space is proposed based on special nature of endoscopic images and provide good results. The quantization and subsampling are used as lossy compression techniques and fixed Golomb-Rice code is used to encode residual value obtained after differential pulse code modulation operation. Here performance of different combination of quantization and subsampling techniques are analyzed based combination along with the proposed compression algorithm provides compression ratio of 89.3% and peak signal noise ratio of 45.1. the proposed algorithm provided better results as compared to various reported algorithms in literature in term of CR and PSNR.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-021-10808-0