Design of digital filter in laser gas analyzer

Hong-tao, 王洪涛 Wang; Yun-biao, 黄云彪 Huang; Hong, 黄鸿 Huang

doi:10.3788/co.20130605.0729

Cited by 2 publications

(1 citation statement)

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“…With misty weather conditions, the outdoor surveillance cameras and equipment with lots of interference [1], namely the contrast and color of recorded images are change and degradation; many features of image become blurred due to being covered with. Therefore, the fog image enhancement is more extra attention.…”

Section: Introductionmentioning

confidence: 99%

Enhancement Algorithm of Color Fog Image Based on the Adaptive Scale and Multi-Parameter Correction

Yin

Shi

et al. 2014

AMR

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To deal with the image contrast and color fidelity details problem in the traditional Center around the Retinex image enhancement algorithms, Enhancement Algorithm of Color Fog Image Based on the Adaptive Scale and Multi-parameter correction is proposed. First, the saturation component of the HSI color space is applied to the nonlinear correction. Then according to the brightness of the image pixel values, it can calculates the scale of the Gaussian kernel, and then proceeds to do the multi-parameter correction for the estimates of the reflection component, obtains the multi-scale image by the weighted average. At last, the obtained image is used to adjust the display correction, image sharpening and smoothing, and being superimposed reflection components, achieving the image enhancement. Through the subjective observation and objective evaluation, this algorithm is better than the traditional center around Retinex algorithm in treatment effect, and also saves a large amount of processing time.

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Section: Introductionmentioning

confidence: 99%