Scattered particles removal in single image based on illumination information

Talib, Muhamad Lazim; Abdullah, Siti Norul Huda Sheikh; Nasruddin, Mohamad Faidzul

doi:10.1109/iceei.2017.8312457

Cited by 1 publication

(4 citation statements)

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“…The light effect to this veil across the view of the observance. Therefore, the scene will reduce its colorfulness, and real structure due to this matter occurred [8], [9]. Figure 1 shows the uniform scene distorted model.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, research in monitoring and recognition enhanced visibility is come essentially to enable the system to eliminate the disruption, and uniform scene distorted [11]. This result occurred with enhanced sight ability after the initial process to recognize the object and scene by minimizing the contrast that happens in the image [9], [12]. Two safety alertness steps will be introduced accordingly.…”

Section: Introductionmentioning

confidence: 99%

“…However, the primary matter occurred is not the color cast image. The contrast enhancement during the process is not necessary, but the way of distance detected estimation is the principal use [9], [13]. Therefore, the scenario of the fog and haze occurred physically.…”

Section: Introductionmentioning

confidence: 99%

“…The scene recovery needs to estimate both the environment light sources and a depth map of the scene accordingly. As a result, this two variables per pixel value need to determine from this single image wisely [9], [14]. Hence, this study introduced the method to increase visibility by using joint ambiance distribution that affects the colorcast in the image.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Uniform Distorted Scene Reduction on Distribution of Colour Cast Correction

Talib

Nasruddin

Abdullah

2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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Scene in the photo occulated by uniform particles distribution can degrade the image quality accidently. State of the art pre-processing methods are able to enhance visibility by employing local and global filters on the image scene. Regardless of air light and transmission map right estimation, those methods unfortunately produce artifacts and halo effects because of uncorrelated problem between the global and local filter's windows. Besides, previous approaches might abruptly eliminate the primary scene structure of an image like texture and colour. Therefore, this study aims not solely to improve scene image quality via a recovery method but also to overcome image content issues such as the artefacts and halo effects, and finally to reduce the light disturbance in the scene image. We introduce our proposed visibility enhancement method by using joint ambience distribution that improves the colour cast in the image. Furthermore, the method is able to balance the atmospheric light in correspondence to the depth map accordingly. Consequently, our method maintains the image texture structural information by calculating the lighting estimation and maintaining a range of colours simultaneously. The method is tested on images from the Benchmarking Single Image Dehazing research by assessing their clear edge ratio, gradient, range of saturated pixels, and structural similarity metric index. The scene image restoration assessment results show that our proposed method had outperformed resuls from the Tan, Tarel and He methods by gaining the highest score in the structural similarity index and colourfulness measurement. Furthermore, our proposed method also had achieved acceptable gradient ratio and percentage of the number of saturated pixels. The proposed approach enhances the visibility in the images without affecting them structurally.

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Section: Introductionmentioning

confidence: 99%