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- Title
The Effects of Image Dehazing Methods Using Dehazing Contrast-Enhancement Filters on Image Compression.
- Authors
Liping Wang; Xiao Zhou; Chengyou Wang; Weizhi Li
- Abstract
To obtain well-dehazed images at the receiver while sustaining low bit rates in the transmission pipeline, this paper investigates the effects of image dehazing methods using dehazing contrast-enhancement filters on image compression for surveillance systems. At first, this paper proposes a novel image dehazing method by using a new method of calculating the transmission function--namely, the direct denoising method. Next, we deduce the dehazing effects of the direct denoising method and image dehazing method based on dark channel prior (DCP) on image compression in terms of ringing artifacts and blocking artifacts. It can be concluded that the direct denoising method performs better than the DCP method for decompressed (reconstructed) images. We also improve the direct denoising method to obtain more desirable dehazed images with higher contrast, using the saliency map as the guidance image to modify the transmission function. Finally, we adjust the parameters of dehazing contrast-enhancement filters to obtain a corresponding composite peak signal-to-noise ratio (CPSNR) and blind image quality assessment (BIQA) of the decompressed images. Experimental results show that different filters have different effects on image compression. Moreover, our proposed dehazing method can strike a balance between image dehazing and image compression.
- Subjects
IMAGE compression; SIGNAL-to-noise ratio; IMAGE quality analysis; DIGITAL electric filters; BIT rate
- Publication
KSII Transactions on Internet & Information Systems, 2016, Vol 10, Issue 7, p3245
- ISSN
1976-7277
- Publication type
Article
- DOI
10.3837/tiis.2016.07.021