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.

Progressive image transmission by content driven Laplacian pyramid encoding

1992 ◽  
Vol 139 (5) ◽  
pp. 495 ◽  
Author(s):  
Q. Mongatti ◽  
L. Alparone ◽  
G. Benelli ◽  
S. Baronti ◽  
F. Lotti ◽  
...  
Keyword(s):  
Image Transmission ◽  
Laplacian Pyramid ◽  
Progressive Image Transmission

AN EFFICIENT PROGRESSIVE IMAGE TRANSMISSION SCHEME FOR CHINESE CALLIGRAPHY

2006 ◽  
Vol 20 (07) ◽  
pp. 1077-1092 ◽  
Author(s):  
CHING-YUN CHANG ◽  
IUON-CHANG LIN
Keyword(s):  
Image Quality ◽  
Response Time ◽  
Image Data ◽  
Image Transmission ◽  
The Other ◽  
Transmission Time ◽  
Transmission Scheme ◽  
Chinese Calligraphy ◽  
High Image Quality ◽  
Progressive Image Transmission

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.

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.

A Simple Prediction Method for Progressive Image Transmission

2002 ◽  
pp. 262-272 ◽  
Author(s):  
Chin-Chen Chang ◽  
Guang-Xue Xiao ◽  
Tung-Shou Chen
Keyword(s):  
Image Quality ◽  
Linear Prediction ◽  
Prediction Method ◽  
Image Transmission ◽  
Input Image ◽  
Reconstructed Image ◽  
Progressive Image Transmission ◽  
Intuitive Method

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.

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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