Filters








29 Hits in 3.1 sec

A Subsample-Based Low-Power Image Compressor for Capsule Gastrointestinal Endoscopy

Meng-Chun Lin, Lan-Rong Dung
2011 EURASIP Journal on Advances in Signal Processing  
This paper presents a novel image compression for capsule gastrointestinal endoscopy, called GICam-II, motivated by the reddish feature of GI image.  ...  Many fast compression algorithms for reducing computation load; however, they may result in a distortion of the original image, which is not suitable for the use of medical care.  ...  According to the analysis results, an improved ultralow-power subsample-based GICam image compression processor is proposed for capsule endoscope or swallowable imaging capsules.  ... 
doi:10.1155/2011/257095 fatcat:2pmqxl37drbgnpgg7hw4kgttea

DWT based Low Power Image Compressor for Wireless Capsule Endoscopy

Kushaagra Goyal, Abhishek Lal, Basabi Bhaumik
2017 Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies  
In this paper, we propose the design of a hardware efficient, low power image compression system along with the serialiser for wireless capsule endoscopy.  ...  The implementation of the compressor plus serialiser in 130nm HS (high speed) standard CMOS process technology consumes 16.9uW of power at 2 frames per second for 256×256 image.  ...  CONCLUSIONS In this paper, we presented a hardware efficient image compressor along with the serialiser for application in wireless capsule endoscopy.  ... 
doi:10.5220/0006103000170024 dblp:conf/biostec/GoyalLB17 fatcat:f4bplujzhjcbrna2yjqvszn2bq

Study on Low-Power Image Processing for Gastrointestinal Endoscopy [chapter]

Meng-Chun Lin
2012 VLSI Design  
Driving by the generic rank-order filtering algorithm, the memory-based architecture features high degree of flexibility and regularity while the cost is low and the performance is high.  ...  12 www.intechopen.com 2 Will-be-set-by-IN-TECH Study on Low-Power Image Processing for Gastrointestinal Endoscopy 3 the task of smoothing or sharpening.  ...  This research paper focuses to propose a subsample-based low-power image compressor for capsule gastrointestinal endoscopy.  ... 
doi:10.5772/33771 fatcat:zdnuio6dmzchjn5jf3aej5mjbe

An advanced physiological data logger for medical imaging applications

Tareq Hasan Khan, Khan A Wahid
2012 EURASIP Journal on Embedded Systems  
The functionality of the prototype is later tested for wireless capsule endoscopy and skin temperature logging application.  ...  A graphical LCD with touch screen is added for control and diagnosis. The hardware is generic and targeted for various medical imaging and data collection applications.  ...  The authors would like to give thanks to Mohammad Shamim Imtiaz for helping in collecting data from hospital environment and to Serge Nazerenko for his technical assistance in making the prototype.  ... 
doi:10.1186/1687-3963-2012-10 fatcat:jexv7tpm5nchpbsexodnsejzqi

Guest editorial: special issue on algorithms and architectures for real-time image and video enhancement

Sergio Saponara, Giovanni Ramponi, Stefano Marsi, Gerard de Haan, Erwin Bellers
2011 Journal of Real-Time Image Processing  
Compared to other transform-based algorithms targeted to capsule endoscopy, the proposed raster-scanbased scheme performs very strongly with a compression ratio of 80% and a very high reconstruction PSNR  ...  This special issue presents nine papers covering different real-time algorithms and cost-efficient architectures for several image/video enhancement techniques.  ...  Compared to other transform-based algorithms targeted to capsule endoscopy, the proposed raster-scanbased scheme performs very strongly with a compression ratio of 80% and a very high reconstruction PSNR  ... 
doi:10.1007/s11554-011-0234-5 fatcat:2tocvbgmarfpfby6txualuklfq

3D DCT Based Image Compression Method for the Medical Endoscopic Application

Jiawen Xue, Li Yin, Zehua Lan, Mingzhu Long, Guolin Li, Zhihua Wang, Xiang Xie
2021 Sensors  
This paper proposes a novel 3D discrete cosine transform (DCT) based image compression method for medical endoscopic applications.  ...  Due to the high correlation among color components of wireless capsule endoscopy (WCE) images, the original 2D Bayer data pattern is reconstructed into a new 3D data pattern, and 3D DCT is adopted to compress  ...  Different from the RGB image format, the Bayer pattern h 3D Block Construction For low power and small size, capsule endoscopies generally adopt the CMOS image sensor.  ... 
doi:10.3390/s21051817 pmid:33807805 pmcid:PMC7961525 fatcat:xa4wz4luqjb6zkbtg6pfbf3rzm

Wyner-Ziv video coding for wireless lightweight multimedia applications

Nikos Deligiannis, Frederik Verbist, Athanassios C Iossifides, Jürgen Slowack, Rik Van de Walle, Peter Schelkens, Adrian Munteanu
2012 EURASIP Journal on Wireless Communications and Networking  
compression performance make the proposed distributed video codec a strong candidate for future lightweight (medical) imaging applications.  ...  Wireless capsule endoscopy in particular, which is essentially wireless video recording in a pill, is proven to be an important application field.  ...  Daniel Urbain, head of the Gastroenterology clinic of the Universitair Ziekenhuis Brussel for providing numerous endoscopic video sequences.  ... 
doi:10.1186/1687-1499-2012-106 fatcat:kfpsmeoid5hhjgix35asc7qvze

Hybrid Algorithm Based on Hyper Spectral Noise Removal for Satellite Image

N. Rajini
2018 EAI Endorsed Transactions on Energy Web  
Teng, D. (2008) Efficient hardware implementation of an image compressor for wireless capsule endoscopy applications, Proceedings of IEEE International Joint Conference Neural Networks. pp. 2761-2765.  ...  Algorithm for Hybrid DWT-DCT: Depending on DCT and DWT algorithm, the subsampling strategy discussed overhead, the steps involved in Hybrid algorithm for satellite images are given below. 1) Consider  ... 
doi:10.4108/eai.13-7-2018.163843 fatcat:gmmmckkn5bg5peero4736imexm

Optimizing Fast Fourier Transform (FFT) Image Compression using Intelligent Water Drop (IWD) Algorithm

Surinder Kaur, Gopal Chaudhary, Javalkar Dinesh Kumar, Manu S. Pillai, Yash Gupta, Manju Khari, Vicente García-Díaz, Javier Parra Fuente
2022 International Journal of Interactive Multimedia and Artificial Intelligence  
This paper proposes a new technique for optimizing image compression using Fast Fourier Transform (FFT) and Intelligent Water Drop (IWD) algorithm.  ...  The criterion of structural similarity of image quality is based on the premise that the human visual system is highly adapted to obtain structural information from the scene, so a measure of structural  ...  Rice code for wireless capsule endoscopy [22] .  ... 
doi:10.9781/ijimai.2022.01.004 fatcat:tqx6tlyjnbgldmlitk4pkciujy

Sparse Coded Handcrafted and Deep Features for Colon Capsule Video Summarization

Ahmed Mohammed, Sule Yildirim, Marius Pedersen, Oistein Hovde, Faouzi Cheikh
2017 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)  
Capsule endoscopy, which uses a wireless camera to take images of the digestive track, is emerging as an alternative to traditional wired colonoscopy.  ...  Video frames are clustered into superframes based on power spectral density, and cluster representative frames are used for video summarization.  ...  K-means algorithm is used to create temporal video segments based on the frames power spectral density.  ... 
doi:10.1109/cbms.2017.13 dblp:conf/cbms/MohammedYPHC17 fatcat:ulvnbjyj4zdo5aagdqqr2zetj4

Multiscale Texture Descriptors for Automatic Small Bowel Tumors Detection in Capsule Endoscopy [chapter]

Daniel Barbosa, Dalila Roupar, Carlos Lim
2011 Discrete Wavelet Transforms - Biomedical Applications  
proposed an automatic capsule endoscopy segmentation algorithm based in color and texture features to determine the topological division of capsule endoscopic videos (Mackiewicz et al., 2008) .  ...  Finally, Part IV describes DWT algorithms for tools in identification and diagnostics: identification based on hand geometry, identification of species groupings, object detection and tracking, DWT signatures  ...  Statistical Significance of the Differences for the Classification Accuracy  ... 
doi:10.5772/19391 fatcat:zrzc7iuxbvdnbfczqbhgd7uqde

A Study on Wireless Capsule Endoscopy for Small Intestinal Lesions Detection Based on Deep learning Target Detection

Zhiguo Xiao, Nianfeng Li
2020 IEEE Access  
with high efficiency.  ...  The method is suitable for most lesions detection based on WCE images.  ... 
doi:10.1109/access.2020.3019888 fatcat:i7zvilhudze2dclkdfr6dgm3qq

Survey of Computer Vision and Machine Learning in Gastrointestinal Endoscopy [article]

Anant S. Vemuri
2019 arXiv   pre-print
A lot of deep learning based applications have not been covered in this thesis.  ...  This paper attempts to provide the reader a place to begin studying the application of computer vision and machine learning to gastrointestinal (GI) endoscopy.  ...  [118] , proposes a novel method based on anisotropic image filtering and efficient statistical classification of contraction features.  ... 
arXiv:1904.13307v1 fatcat:u66me6hx6bfvfkkalqyodf7tmq

Front Matter: Volume 10615

Hui Yu, Junyu Dong
2018 Ninth International Conference on Graphic and Image Processing (ICGIP 2017)  
The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.  ...  The papers in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee.  ...  algorithm for image contrast enhancement in capsule endoscopy [10615-140] 10615 2R Single-scale center-surround Retinex based restoration of low-illumination images with edge enhancement [10615-45  ... 
doi:10.1117/12.2316542 fatcat:tdaw76jq6nehpnttiga2lcuhna

A New Automated Polyp Detection Network MP-FSSD in WCE and Colonoscopy Images based Fusion Single Shot Multibox Detector and Transfer Learning

Meryem Souaidi, Mohamed El Ansari
2022 IEEE Access  
INDEX TERMS Deep transfer learning, edge pooling, feature maps fusion, image augmentation, polyp, single-shot multibox detector (SSD), wireless capsule endoscopy images (WCE).  ...  Small polyp region detection in wireless capsule endoscopy (WCE) images is a challenging task in computer vision owing to two major problems: its variation in terms of shape, texture, and size, and the  ...  This is the main motivation for involving transfer learning techniques for wireless capsule endoscopy polyp detection tasks.  ... 
doi:10.1109/access.2022.3171238 fatcat:kzaifdvkpvg2xc2dfejkgsryjq
« Previous Showing results 1 — 15 out of 29 results