DocumentCode
146797
Title
Real time color image enhancement with a high regard for restoration of skin color by using Raspberry Pi
Author
Sahani, Maneesh ; Rout, Susanta Kumar ; Sharan, Atul Kumar ; Dutta, Suparna
Author_Institution
EEE Dept., Siksha O Anusadhan Univ., Bhubaneswar, India
fYear
2014
fDate
3-5 April 2014
Firstpage
335
Lastpage
339
Abstract
Raspberry Pi is employed as a basic embedded system and being a low cost single-board computer, it has emerged to be immensely popular in recent times. This paper mainly deals with natural color of an image including human faces in HSI color space. In this kind of image, it is necessary to describe skin color accurately hence we go on to restore the image based on this criterion. Histogram equalization (HE) is a popular technique for contrast enhancement of images. In order to vary the enhancement degree to get proper skin color, HE with variable enhancement degree (HE-VED) is introduced. The enhancement degree of HE-VED is controlled by intensity and saturation parameter α and β respectively. Dark and low contrast images were captured using the Raspberry Pi camera module and HE-VED was applied to enhance the objective image in a particular enhancement degree automatically with help of Raspberry Pi. Lastly HE-VED was extended to a complete image and appreciable results were obtained which could be further enhanced using different pseudo coloring techniques.
Keywords
cameras; image colour analysis; image enhancement; image restoration; HE-VED; HSI color space; Raspberry Pi camera module; basic embedded system; contrast enhancement; dark images; histogram equalization; human faces; intensity parameter; low contrast images; low cost single-board computer; natural color; objective image; pseudo coloring techniques; saturation parameter; skin color; variable enhancement degree; Histograms; Image color analysis; Open systems; Power supplies; Universal Serial Bus; HSI color space; Histogram equalization; Python image library; Raspberry Pi; Raspbian wheezy; skin color;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Signal Processing (ICCSP), 2014 International Conference on
Conference_Location
Melmaruvathur
Print_ISBN
978-1-4799-3357-0
Type
conf
DOI
10.1109/ICCSP.2014.6949857
Filename
6949857
Link To Document