Progressive image compression and transmission with region of interest in underwater robotics

Author(s):  
Eduardo M. Rubino ◽  
Diego Centelles ◽  
Jorge Sales ◽  
Jose V. Marti ◽  
Raul Marin ◽  
...  
Author(s):  
Eduardo M. Rubino ◽  
Diego Centelles ◽  
Jorge Sales ◽  
José V. Martí ◽  
Raúl Marín ◽  
...  

2016 ◽  
Vol 11 (2) ◽  
pp. 114-120 ◽  
Author(s):  
C. Peter Devadoss ◽  
Balasubramanian Sankaragomathi ◽  
Thirugnanasambantham Monica

Author(s):  
Anand M ◽  
V. Mathivananr

In the field of digital data there is a demand in bandwidth for the transmission of the videos and images all over the worlds. So in order to reduce the storage space in the field of image applications there is need for the image compression process with lesser transmission bandwidth. So in this paper we are proposing a new image compression technique for the compression of the satellite images by using the Region of Interest (ROI) based on the lossy image technique called the Quantization encoding algorithm for the compression. The performance of our method can be evaluated and analyzing the PSNR values of the output images.


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.


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