Single image dehazing by dark channel prior and luminance adjustment

ABSTRACT

This paper presents a new and simple algorithm to eliminate haze from a single image using YIQ colour space and Dark Channel Prior (DCP). The suggested method consists of two parts. The first one is enhancement by adjusting contrast and lightness using contrast-limited adaptive histogram equalization and gamma transform. The second part involves applying DCP on a hazy image using the RGB colour model to achieve a haze-free image. The resulting image is then converted into YIQ, and the chrominance components (I and Q) are extracted and combined with the enhanced luminance component (Y) to achieve an enhancement haze-free image. The suggested method is applied to many outdoor images, and the quality of the resulting images is compared with that of images from other methods, by using several measures of quality. Analysing the results explain that the suggested method has a higher quality value than other methods.

KEYWORDS:

• Haze
• gamma transform
• CLAHE
• dark channel prior
• YIQ colour model

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Ahmed Rafid Hashim

Ahmed Rafid Hashim Received the B.Sc. in computer sciences, College of education Ibn Al- Haitham, University of Baghdad, Baghdad, Iraq (2009). Received the M.Sc. in computer science, College of education, Al-Mustansiriyah University, Baghdad, Iraq (2016). Thesis title is ‘Facial Expression Recognition Using Multi Transforms’. He currently works as a Lecturer at University of Baghdad, College of Education for Pure Sciences-Ibn Al- Haitham, Department of computer science.

Hazim G. Daway

Hazim G. Daway Received the B.Sc. in Physics, College of education, Al-mustansiriyah University, Baghdad, Iraq (2001). Received the M.Sc. in Digital Image Processing, College of education, Baghdad University, Baghdad, Iraq (2004). Dissertation title is ‘color image enhancement by using least square curve fitting'. Received the Ph.D. In Digital Image Processing, College of education, Al-mustansiriyah University, Baghdad, Iraq (2011). Thesis title is ‘Enhancement of Color Images Captured at Different Lightening Conditions’. Is currently working as a Lecturer at Al-mustansiriyah University Collage of Sciences – Department of Physics.

Hana H. Kareem

Hana H. Kareem Received the B.Sc. in Physics, College of education, Baghdad University, Baghdad, Iraq (2000). Received the M.Sc. Solid state electronics, solar cells, College of education, Baghdad University, Baghdad, Iraq (2006). Dissertation title is ‘Comparative study of thermal and laser treatments on the performance of a silicon solar cell'. Received the Ph.D. In Digital Image Processing, College of education, Al-mustansiriyah University, Baghdad, Iraq (2013). Thesis title is ‘Image Quality Assessment Based on Degradation Models’. Is currently working as a Lecturer at Al-mustansiriyah University College of education - Department of Physics.