منابع مشابه
An Improved Fast Fractal Image Compression Coding Method
The main purpose of image compression is to use as many bits as possible to represent the source image by eliminating the image redundancy with acceptable restoration. Fractal image compression coding has achieved good results in the field of image compression due to its high compression ratio, fast decoding speed as well as independency between decoding image and resolution. However, there is ...
متن کاملAn Improved Phase Span Search Strategy for Fractal Image Coding
In this paper, an improved phase span search strategy is proposed to speedup the fractal encoder. First, a coordinate system is constructed using the two lowest discrete cosine transformation (DCT) coefficients of image blocks. By mapping image blocks into the coordinate system, some image blocks with similar edge shapes will be concentrated on a specific region. Therefore the purpose of speedu...
متن کاملAn improved box-counting method for image fractal dimension estimation
Article history: Received 6 September 2007 Received in revised form 14 January 2009 Accepted 2 March 2009
متن کاملFractal Image Coding
This paper investigates the use of fractal coding for image compression and reconstruction. The encoder exploits self-similarity of the image at different resolutions, mapping larger blocks of the image to similar smaller blocks through a series of contractive transformations. The decoder can apply these transformations iteratively to any image, and recover the original. We show that varying th...
متن کاملSecure Fractal Image Coding
In recent work, various fractal image coding methods are reported, which adopt the selfsimilarity of images to compress the size of images. However, till now, no solutions for the security of fractal encoded images have been provided. In this paper, a secure fractal image coding scheme is proposed and evaluated, which encrypts some of the fractal parameters during fractal encoding, and thus, pr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Science and Application
سال: 2017
ISSN: 2161-8801,2161-881X
DOI: 10.12677/csa.2017.711119