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Novel chroma subsampling patterns for wireless capsule endoscopy compression

NEURAL COMPUTING & APPLICATIONS 2020年第10期32卷 6353-6362页

作者： Babu, Caren Chandy, D. Abraham Karthigaikumar, P. Karunya Inst Technol & Sci Dept Elect & Commun Engn Coimbatore Tamil Nadu India Karpagam Coll Engn Dept Elect & Commun Engn Coimbatore Tamil Nadu India

The recently established wireless capsule endoscopy promises itself to be a great advancement in the field of medical diagnosis. The amount of data generated due to a single inspection of gastrointestinal tract is huge, and the transmission demands more cost and power. Due to the inherent nature of the capsule, a low complexity and low-power design are highly recommended with the ability to reduce the data. This paper explains the design of a compression module which satisfies the above requirements. The compression algorithm is developed around some features of the endoscopic images with its suitability for hardware implementation. The preprocessing operations followed by two-stage encoder using differential coder and golomb-rice coder are implemented on the experimental dataset. The core module in the preprocessing stage is the chroma subsampling which can considerably reduce the data to be transmitted. Several patterns for subsampling have been analyzed in this paper to evaluate the performance of the proposed system. With the help of a suitably designed up-sampler at the receiver, a near-lossless compression with good reconstructed image quality can be achieved. The 22:1:2 pattern yields better results and could bring about an average peak signal-to-noise ratio of 37 dB with compression rate of 70%. The results show that the proposed chroma subsampling patterns performs better than the competing methods towards wireless capsule endoscopy compression.

关键词： Wireless capsule endoscopy Compression Chroma subsampling golomb-rice coder

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Low-Cost Color Space Based Image Compression Algorithm for Capsule Endoscopy 4

Low-Cost Color Space Based Image Compression Algorithm for C...

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4th IEEE International Conference on Signal Processing, Computing and Control (ISPCC)

作者： Malathkar, Nithin Varma Soni, Surender Kumar Natl Inst Technol Hamirpur Dept Elect & Commun Engn Hamirpur India

ISBN: (纸本)9781509058389

an efficient compression algorithm for the capsule endoscopy is described in this paper. This paper consists of a simplified YUV color space, which is developed by taking endoscopy images unique properties into consideration. This is built on RGB-sYUV color conversion, differential pulse code modulation (DPCM) and golomb-rice encoder. This DPCM doesn't need any extra buffer memory to store one row of images and golomb-rice (G-R) code is simple and easily hardware implemented. This algorithm is lossless and give a compression ratio (CR) of 68.1% It gives better results than the standard lossless algorithm regarding complexity and compression ratio in capsule endoscopy applications.

关键词： Wireless Capsule Endoscopy Image Compression YUV Color Space DPCM golomb-rice coder

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Entropy coders for image compression based on binary forward classification

Entropy coders for image compression based on binary forward...

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Conference on Applications of Digital Image Processing XXIII

作者： Yoo, H Jeong, J Hanyang Univ Dept Elect Commun Engn Seoul 133791 South Korea

ISBN: (纸本)0819437603

Entropy coders as a noiseless compression method are widely used as final step compression for images, and there have been many contributions to increase of entropy coder performance and to reduction of entropy coder complexity. In this paper, we propose some entropy coders based on the binary forward classification (BFC). The BFC requires overhead of classification but there is no change between the amount of input information and the total amount of classified output information, which we prove this property in this paper. And using the proved property, we propose entropy coders that are the BFC followed by golomb-rice coders (BFC+GR) and the BFC followed by arithmetic coders (BFC+A). The proposed entropy coders introduce negligible additional complexity due to the BFC. Simulation results also show better performance than other entropy coders that have similar complexity to the proposed coders.

关键词： image compression entropy coder golomb-rice coder forward classification

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