The season affecting the imaging of the hill station highly and all other reasons moreover time to time. The fog in image is significantly affecting weather issue. This paper compares the hybrid scattering model and multiscale fusion method. For the single scattering of light dominated pixels the single scattering physics model is used in the hybrid model and for the remaining pixels the multiple scattering physics model (MSPM) is used. The optical thickness is the basic parameter for this pixel identification. The fusion method is as an energy minimization based method that depends on spatial Markov model. The multiscale depth fusion method (ILMRF) embeds the fusion scheme into adaptive Markov regularization to achieve better estimation of depth map. The result of the multiscale fusion is better as compared to the hybrid methodology.

The image quality is improved drastically with the increase of the technology. The conventional display devices may not be suitable for these High dynamic range images. The tone mapping is the process to show the good quality image in the normal LDR display devices. This paper presents a review of the tone mapping algorithms. It provides the methodology on Tone Mapped Image Quality Index (TMIQI) and the Blind Quality Assessment of Tone-Mapped Images (BTMQI). The region is basically expanded and compressed to visualize properly. Thereby the region-enhanced pseudo-exposures are fused into an HDR image. The image quality of BTMQI is comparatively higher than the TMIQI method. The low dynamic range images are suitable to both the conventional and advance display devices. KeywordsHigh dynamic range imaging, structural preservation, tone mapping, perceptual image processing, structural similarity

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The season affects the imaging of the hill station highly and all other reasons moreover time to time. Our universal defoging method that determining the atmospheric light and produces a spread map in the YCbCr color channels. With this relative depth information we can construct the corresponding atmospheric light to restrain the edge halation. We generate the spread map by estimating the atmospheric light except a continuous region which has no edge information. The method performs a per-pixel manipulation, which is straightforward to implement and then apply the Guided filter to improve the image quality. The experimental results demonstrate that the method yields results comparative to and even better than the more complex state-of-the-art techniques, having the advantage of being appropriate for real-time applications.