AN EFFICIENT PROGRESSIVE IMAGE TRANSMISSION SCHEME FOR CHINESE CALLIGRAPHY

Author(s):  
CHING-YUN CHANG ◽  
IUON-CHANG LIN

We invented a progressive image transmission scheme that is used for transmitting Chinese calligraphy. The scheme employs the property of simple colors of calligraphy images to design a method of transmitting images phase by phase. Overall, our scheme can achieve the following two goals. One is compressing the image data to reduce the transmission time while the other is gaining less response time by using progressive image transmission. Furthermore, the recovered image still maintains the colors of the seals with high image quality.

2014 ◽  
Vol 926-930 ◽  
pp. 1751-1754
Author(s):  
Hong Mei Song ◽  
Hai Wei Mu ◽  
Dong Yan Zhao

A progressive transmission and decoding nearly lossless compression algorithm is proposed. The image data are grouped according to different frequencies based on DCT transform, then it uses the JPEG-LS core algorithmtexture prediction and Golomb coding on each group of data, in order to achieve progressive image transmission and decoding. Experimentation on the standard test images with this algorithm and comparing with JPEG-LS shows that the compression ratio of this algorithm is very similar to the compression ratio of JPEG-LS, and this algorithm loses a little image information but it has the ability of the progressive transmission and decoding.


2014 ◽  
Vol 886 ◽  
pp. 650-654
Author(s):  
Bo Hao Xu ◽  
Yong Sheng Hao

Progressive image transmission is a kind of image technology has been widely used in various fields, it can not only save bandwidth but also improve the user experience to meet user demand for different image quality. According to user's demand for image quality, realizing the progress of image compression coding flow can meet the demand of users. This article mainly introduce by means of JPEG and Laplacian pyramid coding principle implement progressive image compression.


Author(s):  
Chin-Chen Chang ◽  
Guang-Xue Xiao ◽  
Tung-Shou Chen

BPM is a simple and intuitive method to implement the progressive image transmission. However, its reconstructed image quality at each of the beginning stages is not good. In this paper, we propose a simple prediction method to improve the quality of the reconstructed image for BPM at each of the beginning stages. By partitioning the input image into smaller blocks, our method transmits an important part of the pixel information of each block to the receiver in each stage. To reconstruct the whole image, the receiver recovers the missing pixel information in each block by linear prediction based on the transmitted pixel information. The experiment results show that our method can significantly improve the reconstructed image quality at each of the beginning stages compared to the BPM and IBPM proposed previously.


Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1067 ◽  
Author(s):  
Dan-feng Zhao ◽  
Hai Tian ◽  
Rui Xue

This paper studies an adaptive coding scheme for B5G (beyond 5th generation) mobile system-enhanced transmission technology. Different from the existing works, the authors develop a class of rate-compatible, non-binary, low-density parity check (RC-NB-LDPC) codes, which expresses the strong connection between the algebra-based and graph-theoretic-based constructions. The constructed codes can not only express rate-compatible (RC) features, but also possess a quasi-cyclic (QC) structure that facilitates the encoding implementation. Further, in order to achieve the code rate-adaptive allocation scheme, the authors propose using the K-means++ clustering algorithm to cluster different channel environments, considering various factors that affect channel characteristics. Finally, in order to present the advantages of the adaptive coding scheme, the authors construct a coding scheme for image transmission. The numerical results demonstrate that the developed code can obtain better waterfall performance in a larger code rate range, which is more suitable for data transmission; the adaptive coding transmission scheme can obtain higher reconstructed image quality compared to the fixed code rate-coding scheme. Moreover, when considering unequal error protection (UEP), the proposed scheme can further improve the reconstructed image quality.


2018 ◽  
Vol 11 (2) ◽  
pp. 181-196 ◽  
Author(s):  
Hamed Tirandaz ◽  
Ali Karami-Mollaee

PurposeThe purpose of this paper is to propose a novel and secure image transmission based on the unpredictable behavior of the chaotic systems.Design/methodology/approachThe proposed approach includes two main contributions: synchronization scheme and transmission scheme. The synchronization scheme benefits the advantage of the fractional-order active synchronization method. A new control law is derived to asymptotically synchronize the underlined fractional-order Bloch chaotic system. The validity of the proposed synchronization scheme is proved by the Lyapunov stability theorem. Then, a novel image transmission scheme is designed to transfer image data via chaotic signals, which modulates the encrypted data in the sender signals and demodulates it at the receiver side.FindingsNumerical simulations are provided to show the validity and effectiveness of the proposed image transmission system. Furthermore, the performance of the image transmission system is evaluated using some illustrative examples and their corresponding statistical tests. The results demonstrate the effectiveness of the proposed method in comparison with other proposed methods in this subject.Originality/valueA new chaos-based image transmission system is developed based on the synchronization of Bloch chaotic system. The introduced transmission system is interesting and could be applicable to any kind of secure image/video transmission.


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