Design and Realization of Airborne Embedded Image Enhancement System

Chuan-li, 尹传历 Yin; Xiao-zhe, 王啸哲 Wang

doi:10.3788/yjyxs20132804.0604

Cited by 4 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…So the study of color image enhancement technology is particularly important. Because of the color image R, G, B components are related to each other, if the color image enhancement directly, easy to result in enhanced image color distortion [1]. Convert RGB to HSI space can better reflect the visual characteristics, and then in HSI space for the processing of image enhancement algorithm, after processing the image contrast and image quality was increased obviously [2].…”

Section: Introductionmentioning

confidence: 99%

Based on the FPGA Video Image Enhancement System Implementation

Li¹,

Fang²,

Sun³

2017

dtcse

View full text Add to dashboard Cite

ABSTRACT:According to the changing external environment, or night fog cases collected a blurry image. In this paper, the conventional histogram equalization algorithm is optimized and improved, as well as an adaptive histogram equalization algorithm is proposed, which can effectively control the contrast ratio. To convert images from the RGB space to HSI space, and then to HSI space of luminance component (I) of gray histogram for optimization of the algorithm, and then convert to RGB space. The realization of the algorithm by FPGA, image recognition degree enhanced obviously, improve the quality of the image, the actual application effect is superior.

show abstract

Section: Introductionmentioning

confidence: 99%

Based on the FPGA Video Image Enhancement System Implementation

Li¹,

Fang²,

Sun³

2017

dtcse

View full text Add to dashboard Cite

show abstract

An improved camshift algorithm based on RGB histogram equalization

Cong

Shi

Zhou

2014

2014 7th International Congress on Image and Signal Processing

View full text Add to dashboard Cite

ERC — An environmental robust Camshift face tracking algorithm

Cong

Shi

2015

2015 8th International Congress on Image and Signal Processing (CISP)

View full text Add to dashboard Cite

The classical Camshift face tracking algorithm requires a higher environmental demand and is susceptible to the skin color interference. To solve the above problems, an improved Camshift tracking algorithm-ERC (Environmental Robust Camshift) is presented. Firstly, the RGB histogram equalization is applied in ERC to extend the hue differentiation between pixels; secondly, the statistical and spatial information are combined by using the adaptive kernel function based on the spatiogram to obtain the target tone model; finally, the tracking module in the classical Camshift algorithm is employed to realize the target tracking. The experiment results show that the ERC can achieve an effective face tracking in the case of intense illumination changes, background clutter and rapid movement.

show abstract

Design and Realization of Airborne Embedded Image Enhancement System

Cited by 4 publications

References 0 publications

Based on the FPGA Video Image Enhancement System Implementation

Based on the FPGA Video Image Enhancement System Implementation

An improved camshift algorithm based on RGB histogram equalization

ERC — An environmental robust Camshift face tracking algorithm

Contact Info

Product

Resources

About