Research and Implementation of a Multiple Channel CMOS Image Sampling System

2006 ◽  
Author(s):  
Baotang Shan ◽  
Weijiang Wang ◽  
Tingzhi Shen ◽  
Jianmin Lv
Keyword(s):  
Sampling System ◽  
Multiple Channel ◽  
Image Sampling

A New Compression Method for Bayer Color Filter Array Images

2013 ◽  
Vol 321-324 ◽  
pp. 1219-1224
Author(s):  
Bao Tang Shan ◽  
Fa Nian Wang ◽  
Juan Gao
Keyword(s):  
Image Compression ◽  
High Performance ◽  
Lossless Compression ◽  
Color Filter ◽  
Test Results ◽  
Compression Method ◽  
Sampling System ◽  
Multiple Channel ◽  
Compression Performance ◽  
Filter Array

In order to improve the compression performance of Bayer CFA images exposed continuously, a new high performance remainder set near-lossless compression method is presented. Based on channel-separated-filtering, several typical Bayer CFA image compression methods are compared with the proposed remainder set algorithm. It is proved that the remainder set algorithm has not only the better compression performance, i.e., the lower bits per pixel (average about 2.16bpp), but also the better reconstructed CFA image PSNR (average about 52.31dB). Finally, the proposed method is employed in a multiple channel CMOS image sampling system and some test results are given.

Sampling System and Its Operation Scenario for the Jupiter Trojan Asteroid Explorer

2018 ◽  
Vol 16 (7) ◽  
pp. 698-705 ◽  
Author(s):  
Jun MATSUMOTO ◽  
Chisato OKAMOTO ◽  
Yusuke OKI ◽  
Takuma NAKAMURA ◽  
Jun AOKI
Keyword(s):  
Sampling System ◽  
Trojan Asteroid

KUALITAS HIDUP PASIEN STROKE DI POLIKLINIK RAWAT JALAN RUMAH SAKIT SWASTA YOGYAKARTA

2019 ◽  
Vol 7 (3) ◽  
pp. 232-237
Author(s):  
Hana Larasati ◽  
Theresia Titin Marlina
Keyword(s):  
Quality Of Life ◽  
Social Relations ◽  
Hemorrhagic Stroke ◽  
Poor Quality ◽  
Social Dimension ◽  
Stroke Patients ◽  
Sampling System ◽  
Post Stroke ◽  
Psychological Dimension

Background: stroke is a disorder of nervous system function that occurs suddenly and is caused by brain bleeding disorders that can affect the quality of life physical dimensions, social dimensions, psychological dimensions, environmental dimensions. Based on the result of Lumbu study (2015) the number of samples were 71 people collected data using the (WHOQOL-BREF). There were 56 people (78,9%) had the poor quality of life of post stroke. The mean of post-stroke quality of life domain was physical domain (45,27%), psychological domain (49,87%), social relations domain (48,15%) and environmental domain (50.01%). Objective: the purpose of the study was know the quality of life of the stroke patients in Outpatient Polyclinic of Private Hospital in Yogyakarta. Methods: used descriptive quantitative by using questionnaire test of purposive sampling system based on patients who have been affected of ischemic or hemorrhagic stroke before, number 30 respondents. Result: quality of life of stroke patient of medium physical dimension (67%), psychological dimension (71%), social dimension (67%), dimension good environment (63%). Conclusion: the quality of life of stroke patients of physical dimension, psychological dimension, and moderate social dimension, while the quality of life of stroke patients were good environmental dimension.   Keywords: Hemorrhagic stroke, ischemic stroke, quality of life

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