Mhp Lossless Image Compression Coding Scheme for and Efficient Compressed Image Transmission Through Wireless Networks

2018 ◽  
Vol 55 (1) ◽  
pp. 36-40
Author(s):  
P.Suresh Babu ◽  
Keyword(s):  
Wireless Networks ◽  
Image Compression ◽  
Image Transmission ◽  
Lossless Image Compression ◽  
Coding Scheme ◽  
Compression Coding

Research on Image Technology with Progressive Image Compression Based on JPEG and Laplacian Pyramid

2014 ◽  
Vol 886 ◽  
pp. 650-654
Author(s):  
Bo Hao Xu ◽  
Yong Sheng Hao
Keyword(s):  
Image Quality ◽  
Image Compression ◽  
User Experience ◽  
Image Transmission ◽  
Laplacian Pyramid ◽  
Progressive Image Transmission ◽  
User Demand ◽  
Progressive Image Compression ◽  
Compression Coding

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.

scholarly journals Joint Lossless Image Compression and Encryption Scheme Based on CALIC and Hyperchaotic System

Entropy ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. 1096
Author(s):  
Miao Zhang ◽  
Xiaojun Tong ◽  
Zhu Wang ◽  
Penghui Chen
Keyword(s):  
Image Compression ◽  
Lossless Compression ◽  
Image Transmission ◽  
Single Step ◽  
Hyperchaotic System ◽  
Encryption Scheme ◽  
Lossless Image Compression ◽  
Compression Performance ◽  
Final Prediction Error ◽  
Image Compression And Encryption

For efficiency and security of image transmission and storage, the joint image compression and encryption method that performs compression and encryption in a single step is a promising solution due to better security. Moreover, on some important occasions, it is necessary to save images in high quality by lossless compression. Thus, a joint lossless image compression and encryption scheme based on a context-based adaptive lossless image codec (CALIC) and hyperchaotic system is proposed to achieve lossless image encryption and compression simultaneously. Making use of the characteristics of CALIC, four encryption locations are designed to realize joint image compression and encryption: encryption for the predicted values of pixels based on gradient-adjusted prediction (GAP), encryption for the final prediction error, encryption for two lines of pixel values needed by prediction mode and encryption for the entropy coding file. Moreover, a new four-dimensional hyperchaotic system and plaintext-related encryption based on table lookup are all used to enhance the security. The security tests show information entropy, correlation and key sensitivity of the proposed methods reach 7.997, 0.01 and 0.4998, respectively. This indicates that the proposed methods have good security. Meanwhile, compared to original CALIC without security, the proposed methods increase the security and reduce the compression ratio by only 6.3%. The test results indicate that the proposed methods have high security and good lossless compression performance.

Technology of Image Compression Coding Based on Walsh Transform

2013 ◽  
Vol 860-863 ◽  
pp. 2946-2949
Author(s):  
Yu Li ◽  
Lin He
Keyword(s):  
Image Compression ◽  
Color Image ◽  
Rapid Development ◽  
Image Transmission ◽  
Experimental Simulation ◽  
Walsh Transform ◽  
The Internet ◽  
Compression Coding ◽  
And Storage ◽  
Color Image Compression

With the rapid development of the Internet era, in order to improve the speed of image transmission and storage, this paper presents a new method to use Walsh transform on data block which size is not 2n. And this paper focuses on the research of Walsh transform application in color image compression coding. The method is simple and can get good result through the experimental simulation.

scholarly journals A Fast Image Compression Algorithm Based on Wavelet Transform

2021 ◽  
Vol 15 ◽  
pp. 809-819
Author(s):  
Xiangjun Li ◽  
Shuili Zhang ◽  
Haibo Zhao
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Fractal Theory ◽  
Image Transmission ◽  
Reconstructed Image ◽  
High Quality ◽  
Fractal Compression ◽  
Compression Coding ◽  
Performance Of Algorithm

With multimedia becoming widely popular, the conflict between mass data and finite memory devices has been continuously intensified; so, it requires more convenient, efficient and high-quality transmission and storage technology and meanwhile, this is also the researchers’ pursuit for highly efficient compression technology and it is the fast image transmission that is what people really seek. This paper mainly further studies wavelet analysis and fractal compression coding, proposes a fast image compression coding method based on wavelet transform and fractal theory, and provides the theoretical basis and specific operational approaches for the algorithm. It makes use of the smoothness of wavelet, the high compression ratio of fractal compression coding and the high quality of reconstructed image. It firstly processes the image through wavelet transform. Then it introduces fractal features and classifies the image according to the features of image sub-blocks. Each class selects the proper features. In this way, for any sub-block, it only needs to search the best-matched block in a certain class according to the corresponding features. With this method, it can effectively narrow the search in order to speed up coding and build the relation of inequality between the sub-block and the matching mean square error. So, it can effectively combine wavelet transform with fractal theory and further improves the quality of reconstructed image. By comparing the simulation experiment, it objectively analyzes the performance of algorithm and proves that the proposed algorithm has higher efficiency.

Lossless image compression coding method based on static dictionary

2012 ◽  
Vol 31 (6) ◽  
pp. 1578-1580 ◽  
Author(s):  
Jian GAO ◽  
Ao SONG ◽  
Wan LIU ◽  
Yao CHEN
Keyword(s):  
Image Compression ◽  
Lossless Image Compression ◽  
Coding Method ◽  
Compression Coding

Pixel pyramid for lossless image compression using Arithmetic Coding

1993 ◽  
Author(s):  
Krystyna Ohnesorge ◽  
Peter Stucki ◽  
Hartwig Thomas
Keyword(s):  
Image Compression ◽  
Arithmetic Coding ◽  
Lossless Image Compression

Differential Image Compression for Telemedicine: A Novel Approach

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Adnan Alam Khan ◽  
Dr. Asadullah Shah ◽  
Saghir Muhammad
Keyword(s):  
Image Compression ◽  
Medical Information ◽  
Emerging Technologies ◽  
Medical Images ◽  
Image Transmission ◽  
Medical Doctors ◽  
Medical Sciences ◽  
Compression Method ◽  
Paramedical Staff ◽  
Novel Approach

Telemedicine is one of the most emerging technologies of applied medical sciences. Medical information related to patients is transmitted and stored for references and consultations. Medical images occupy huge space; in order to transmit these images may delay the process of image transmission in critical times. Image compression techniques provide a better solution to combat bandwidth scarcity problems, and transmit same image in a much lower bandwidth requirements, more faster and at the same time maintain quality. In this paper a differential image compression method is developed in which medical images are taken from a wounded patient and are compressed to reduce the bit rate of these images. Results indicate that on average 25% compression on images is achieved with 3.5 MOS taken from medical doctors and other paramedical staff the ultimately user of the images.

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