Details

Autor(en) / Beteiligte

• Ayoub, Abeer
• Naeem, Ensherah A.
• El-Shafai, Walid
• El-Samie, Fathi E. Abd
• Hamad, Ehab K. I.
• EL-Rabaie, El-Sayed M.

Titel

Video quality enhancement using dual-transmission-map dehazing

Ist Teil von

• Multimedia tools and applications, 2024-02, Vol.83 (7), p.20289-20306

Ort / Verlag

New York: Springer US

Erscheinungsjahr

2024

Quelle

2022 ECC(Springer)

Beschreibungen/Notizen

• Video imaging in open environments faces several problems such as the haze problem. Haze has a degradation effect on images. To enhance the video quality, we use a dual-transmission-map dehazing algorithm. We work on two video sequences: a Near Infrared (NIR) sequence and a visible sequence. We modify this dual-transmission-map dehazing algorithm by applying pre-processing on frames before the dehazing process to enhance the frame quality. All frames may have some noise or limited dynamic range due to sensor measurement errors that can be amplified in the haze removal process if ignored. We use different types of image enhancement techniques to either remove noise or control the dynamic range before the dehazing process. The dehazing algorithm can be implemented using a dual-transmission map depending on the Dark Channel Prior (DCP) method. Gradient-domain guided filtering is used to refine the two obtained transmission maps to obtain the best results for the dehazed frames. We investigate the effect of a regularization parameter ω on the visible and NIR dehazed frames without and with enhancement techniques. Results for visible video are more obvious than those for NIR video, because hazy visible frames have a large amount of haze compared to hazy NIR frames. We use the Peak Signal-to-Noise Ratio (PSNR) and correlation between hazy and dehazed frames after the dehazing process as evaluation metrics for the proposed algorithm. The proposed algorithm provides good results in the enhancement of two types of video as proved by the spectral entropy of dehazed frames.