VLSI Implementation of a Cost-Efficient Near-Lossless CFA Image Compressor for Wireless Capsule Endoscopy

Chen, Shih-Lun; Liu, Tse-Yen; Shen, Chien-Hua; Tuan, Min-Chun

doi:10.1109/access.2016.2638475

Cited by 34 publications

(20 citation statements)

References 17 publications

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“…The prediction error obtained is converted to bitstream with the help of Golomb Rice coder. Literature shows that Golomb coders are most preferred as stage 2 coders for WCE due to its ease for hardware implementation [21]. The prediction error is mapped to positive values and applied to the Golomb coder details as discussed in our previous work [22].…”

Section: Golomb Rice Codermentioning

confidence: 99%

Performance of Predictive Coders for Wireless Capsule Endoscopy Image Compression

Babu*,

Chandy*

2020

IJRTE

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Wireless capsule endoscopy is a medical diagnostic technique developed for the endoscopic examination of the small bowel. The encoder module is the core of the wireless capsule endoscopic system impacting on power and area requirement for the hardware implementation of the capsule. One of the remarkable features of the endoscopic image is that the neighboring pixels are highly correlated. Two predictive coding techniques are considered in this work exploiting the above fact. The first predictive coder i.e., DPCM coder is based on previous horizontal neighboring pixel, whereas the second predictive coder is based on adjacent horizontal and diagonal neighbors. The performance of the predictive coders is tested with 41 small bowel type endoscopic images available in the Gastrolab dataset. The results show that the average compression rate and peak signal to noise ratio attained by DPCM coder and newly tested predictive coder are 66.37 % & 73.03 % and 32.17 dB & 35.55 dB, respectively

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Section: Golomb Rice Codermentioning

confidence: 99%

Performance of Predictive Coders for Wireless Capsule Endoscopy Image Compression

Babu*,

Chandy*

2020

IJRTE

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“…In addition to the active locomotion ability, research has been conducted on improving visualization performance by integrating artificial intelligence diagnostics and multi-functional modules to extend the endoscopic capsule's functionalities [11]- [14]. With the advancement of MEMS technology, functional WCEs have been developed for sensing, including gas, pressure, and pH [15]- [20].…”

Section: Introductionmentioning

confidence: 99%

Untethered Robotic Motion and Rotating Blade Mechanism for Actively Locomotive Biopsy Capsule Endoscope

Hoang

Kim

et al. 2019

IEEE Access

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Capsule endoscopy (CE) is a convenient and promising alternative endoscopic method for the gastrointestinal diagnostics on clinical sites; however, multifunctional utilization with active targeting locomotion is still challenging due to internal power limitations and micro-size manipulation mechanisms. The biopsy is one of the most demanding functions of intestinal CE, and successful developments could significantly improve the intestinal diagnostics for precise decisions and comfortable usage. In this paper, we present a novel active locomotive robotic biopsy capsule endoscope using an externally driven electromagnetic actuation (EMA) system and a battery-free wireless rotating blade mechanism. The external magnetic field from the EMA system controls both locomotion and biopsy operation, and thus, the proposed mechanism does not consume the internal power of the CE. We prototyped the proposed biopsy module and integrated it into an active locomotive capsule endoscope. Simulations were conducted to design the module and analyze the magnetic responses. We performed experiments with the biopsy capsule endoscope both in vitro and ex vivo to demonstrate its feasibility. In conclusion, the prototyped robotic biopsy capsule endoscope could successfully perform the necessary movements for the capsule in the small intestine and perform a biopsy at the target lesion with sufficient force. The amount of biopsy tissue was sufficient for a histological examination. INDEX TERMS Biopsy capsule endoscope, wireless capsule endoscope, electromagnetic actuation system, intestinal diagnosis.

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“…Consequently, the achievement of super high data throughput has updated the context parameters by breaking the feedback loop. In addition, [22] proposed a cost-efficient near-lossless CFA image compressor by using context-free algorithm. It is novel that a pixel restoration, prediction, run mode and entropy encoder were included.…”

Section: Introductionmentioning

confidence: 99%

Lossless CFA Image Compression Chip Design for Wireless Capsule Endoscopy

Chen

Lioa

et al. 2019

IEEE Access

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This paper presents a hardware-oriented lossless color filter array (CFA) image compression algorithm for very-large-scale integration (VLSI) circuit design. In order to achieve high performance, low complexity and low memory requirement, a novel lossless CFA image compression algorithm based on JPEG-LS is proposed for the VLSI implementation. A previous study showed the usage of a context table with its memory consuming more than 81% of the chip area for a JPEG-LS encoder design. The proposed algorithm implements a JPEG-LS-based lossless image compression algorithm that eliminates the use of the context technique and its memory in order to reduce the chip area while still maintaining its high performance. The proposed algorithm includes a pixel restoration, an adaptive Golomb-Rice parameter prediction and an improved Golomb-Rice coding technique. This paper was realized using a 0.18µ m CMOS process with synthesized gate counts and core area of 4.8 k and 57,625µm 2 , respectively. The synthesized operating frequency of this design reached 200 MHz by using a pipeline scheduling technique. Compared with the previous JPEG-LS-based designs, this paper reduced the gate count to at least 28% and increased the average compression ratio by over 17.15% using the video endoscopy images from the Gastro Gastroenterologist Hospital.

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VLSI Implementation of a Cost-Efficient Near-Lossless CFA Image Compressor for Wireless Capsule Endoscopy

Cited by 34 publications

References 17 publications

Performance of Predictive Coders for Wireless Capsule Endoscopy Image Compression

Performance of Predictive Coders for Wireless Capsule Endoscopy Image Compression

Untethered Robotic Motion and Rotating Blade Mechanism for Actively Locomotive Biopsy Capsule Endoscope

Lossless CFA Image Compression Chip Design for Wireless Capsule Endoscopy

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