This paper proposes a new quality improvement technique for fractal-based image compression techniques using diffusion equations. fractal coding uses a contractive mapping scheme to represent an image. This process of...
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This paper proposes a new quality improvement technique for fractal-based image compression techniques using diffusion equations. fractal coding uses a contractive mapping scheme to represent an image. This process of contractive mapping causes artifacts and blocking effects in encoded images. This problem is severed when compression ratio is increased or there are high frequency regions in the image. Hence, to amulet the deficiency of fractal coding approaches in image compression, we propose using diffusion equations as a post processor. Diffusion equations are powerful tools for image enhancement. This technique has been examined on a variety of standard images. The obtained results indicate that the proposed method improves performance of fractal-based image compression techniques.
fractal coding is a novel method to compress images, which was proposed by Barnsley, and implemented by Jacquin. It offers many advantages. This paper proposes a new method using best polynomial approximation to decid...
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ISBN:
(纸本)9781424472352
fractal coding is a novel method to compress images, which was proposed by Barnsley, and implemented by Jacquin. It offers many advantages. This paper proposes a new method using best polynomial approximation to decide whether a domain block is similar enough to a given range block. Also the paper gives a kind of domain pool. It is found that the probability distribution of 8 isometries in the fractal code is not average. And consequently it is proposed to use only 2 or 4 isometries to speed up compression. At last some testing results on Lena and Peppers are given.
Both the size and the resolution of images always were key topics in the graphical computing ***,they become more and more relevant in the big data *** can observe that often a huge amount of data is exchanged by medi...
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Both the size and the resolution of images always were key topics in the graphical computing ***,they become more and more relevant in the big data *** can observe that often a huge amount of data is exchanged by medium/low bandwidth networks or yet,they need to be stored on devices with limited space of *** this context,the present paper shows the use of the fractal method for image *** is a lossy method known by providing higher indexes of file reduction through a highly time consuming *** this way,we developed a model of parallel application for exploiting the power of multiprocessor architectures in order to get the fractal method advantages in a feasible *** evaluation was done with different-sized images as well as by using two types of machines,one with two and another with four *** results demonstrated that both the speedup and efficiency are highly dependent of the number of *** emphasized that a large number of threads does not always represent a better performance.
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