Yes,it is open source cartoon image reconstruction. Online demo is http://gugemobile.com/faceplay/index.php

I have spent one night to produce the funny site for face detection and cartoon image creation.  Check here for fun. All the codes are pure php language and without the need of opencv.

And you can download all the pure php source files from this link.

face detection · php

<div id="foo">
<?php
  function foo() {
    echo "Hello World!\\n";
  }
?>
</div>

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This paper was published at August,2009 on J. Infrared Millim. Waves which is a chinese journal.

The authors are Liu Dan-Hua, Shi Guang-Ming, Zhou Jia-She, Gao Da-Hua, Wu Jia-Ji(Key Lab of Intelligent perception and Image Understanding of Ministry of Education and School of Science, Air Force Engineering University Xi’an).

The abstract is below:

“Based on compressed sensing(CS), a new multiple description coding method(CS-MDC) was presented. The new method is robust to packet loss or bit error, and has the advantages of simple structure and easy implementation. The method partitioned an image into several blocks by interleaving extracting in the wavelet domain, and made random measurements of the image blocks, and then formed multiple descriptions after quantizing and packing. At the decoding end, it reconstructed the original image approximately or exactly with the received bit streams by solving an optimization problem. The proposed method can construct more descriptions with lower complexity because the process of random measuring is simple and easy to realize. Experimental results show that the proposed method exhibits its superiority over SPIHT-MDC with the same packet loss probability, and it can easily generate more descriptions ”

compressive sensing

This paper was published in July 2009 on “Chinese Journal of Scientific Instument”.  The authors are Lian Qiusheng, Gao Yangyan, Chen Shuzhen(Institute of Information Science and Technology, Yanshan University, Qinhuangdao 066004, China).

Abstract is below:

“Compressed sening system can reconstruct original image from fewer measurements using sparse priors of the image. In current compressed sensing literature,people always use orthogonal wavelet with three directions to represent the image, and use iterative shrinkage to solve the optimization problem. However, traditional reconstruction algorithm suffers from lower convergence rate and pseudo-Gibbs effect in the reconstructed image. Aiming at this problem, this paper presents an image reconstruction algorithm based on sparse representation of the image in dual-tree complex wavelet transform domain and two-step iterative shrinkage, which uses two previous estimations to obtain a new one. The results of experiments show that the reconstructed image has better vision quality and the convergence rate is faster than that of conventional reconstrucion algorithm“.

Comments are welcome!

Chinese · compressive sensing