Novel embedded image compression technique using second generation bandelets and zerotree coding

2007 ◽  
Author(s):  
Kun Li ◽  
Shuang Wang ◽  
Licheng Jiao ◽  
Yang Zhao
Keyword(s):  
Image Compression ◽  
Second Generation ◽  
Compression Technique ◽  
Zerotree Coding ◽  
Embedded Image

scholarly journals Evaluation of graphic effects embedded image compression

2020 ◽  
Vol 10 (6) ◽  
pp. 6606
Author(s):  
Chanintorn Jittawiriyanukoon ◽  
Vilasinee Srisarkun
Keyword(s):  
Image Compression ◽  
Digital Image ◽  
Compression Technique ◽  
Fundamental Factor ◽  
Redundant Data ◽  
Rgb Images ◽  
The Common ◽  
Digital Image Compression ◽  
Embedded Image

A fundamental factor of digital image compression is the conversion processes. The intention of this process is to understand the shape of an image and to modify the digital image to a grayscale configuration where the encoding of the compression technique is operational. This article focuses on an investigation of compression algorithms for images with artistic effects. A key component in image compression is how to effectively preserve the original quality of images. Image compression is to condense by lessening the redundant data of images in order that they are transformed cost-effectively. The common techniques include discrete cosine transform (DCT), fast Fourier transform (FFT), and shifted FFT (SFFT). Experimental results point out compression ratio between original RGB images and grayscale images, as well as comparison. The superior algorithm improving a shape comprehension for images with grahic effect is SFFT technique.

Efficient Domain Search for Fractal Image Compression Using Feature Extraction Technique

2012 ◽  
Vol 488-489 ◽  
pp. 1587-1591
Author(s):  
Amol G. Baviskar ◽  
S. S. Pawale
Keyword(s):  
Feature Extraction ◽  
Image Compression ◽  
Low Complexity ◽  
Contractive Mapping ◽  
Fractal Image Compression ◽  
Compression Technique ◽  
Image Encoding ◽  
Fractal Image ◽  
Coding Method ◽  
The Given

Fractal image compression is a lossy compression technique developed in the early 1990s. It makes use of the local self-similarity property existing in an image and finds a contractive mapping affine transformation (fractal transform) T, such that the fixed point of T is close to the given image in a suitable metric. It has generated much interest due to its promise of high compression ratios with good decompression quality. Image encoding based on fractal block-coding method relies on assumption that image redundancy can be efficiently exploited through block-self transformability. It has shown promise in producing high fidelity, resolution independent images. The low complexity of decoding process also suggested use in real time applications. The high encoding time, in combination with patents on technology have unfortunately discouraged results. In this paper, we have proposed efficient domain search technique using feature extraction for the encoding of fractal image which reduces encoding-decoding time and proposed technique improves quality of compressed image.

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