Study: Pengukuran Saturasi Oksigen dengan Konsumer Grade RGB Kamera

Advancement on camera technology, image processing, and signal processing algorithm is widening the usage of camera into biomedical measurement. Mostly are used for pulse rate (PR) measurement to monitor human’s heart condition. In this paper, we studied the prospect of a consumer grade RGB camera as replacement for contact-based pulse oximeter (measure pulse rate and blood saturation oxygen). However, in this study we more focus on blood saturation oxygen measurement which needs more complex principle and calculation compared to PR measurement. We use both time and frequency domain calculation to know whether one or both of them have better achievement. The results reveal the summary performance from the usage of a consumer-grade RGB camera in saturation oxygen measurement.

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INTRODUCTION TO THE FOURIER TRASNFORM: IMAGE PROCESSING LABORATORY EXAMPLE

Proceedings of the Canadian Engineering Education Association (CEEA) ◽

10.24908/pceea.v0i0.4702 ◽

2012 ◽

Author(s):

Gabriel Thomas

Keyword(s):

Image Processing ◽

Signal Processing ◽

Frequency Domain ◽

Undergraduate Students ◽

Theoretical Solution ◽

Processing Algorithm ◽

Original Image ◽

Signal Processing Algorithm ◽

Processing Data ◽

Dramatic Difference

Signal processing can be a mathematical intense subject and undergraduate students may not be able to appreciate the enormous importance on the applied side of things. Even if the instructor mentions some of the fascinating application areas, it might be difficult for students to attend a laboratory session in which they will have enough time to code a signal processing algorithm and see a big difference when processing data in the frequency domain. In this paper I describe a simple example in which students have an opportunity to develop a theoretical solution to enhance an image and with just a few lines of code run a program that will show a dramatic difference between an original image and the enhanced version. Different fundamental signal processing concepts are reinforced with the laboratory example and its application only requires a computer and signal processing developing software such as Matlab.

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Signal and Image Processing in the Encrypted Domain

ECTI Transactions on Computer and Information Technology (ECTI-CIT) ◽

10.37936/ecti-cit.201261.54315 ◽

1970 ◽

Vol 6 (1) ◽

pp. 10-17

Author(s):

Hitoshi Kiya ◽

Masaaki Fujiyoshi

Keyword(s):

Image Processing ◽

Cloud Computing ◽

Signal Processing ◽

Processing Algorithm ◽

Signal Processing Algorithm ◽

Signal And Image Processing ◽

The Public

This paper describes signal processing in the encrypteddomain, i.e., that after encryption but before decryption. In this framework, signal processing operations can be directly applied to encrypted signals without decrypting of encrypted signals, whereas the ordinary framework encrypts signals for transmission and/or storing but it decrypts them before signal processing operations are applied to. The described framework befits contemporary cloud computing in which not only transmission but also storing and processing are done in the public Internet. Addition to brief survey, two tangible application scenarios are also demonstrated in this paper where a new signal processing algorithm is introduced each.

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