Image compression is an application based on data compression of the digital images. Its main objective is to reduce the redundancy of the image data for storing and transmitting data in an easy way. In this system we are proposing a compression technique based on the Run-length coding algorithm based on satellite image compression. The Run-length coding algorithm is a part of the Lossless compression algorithm. The performance evolution can be done by calculating the PSNR values of the compressed images
New innovative research trends are more essential in the area of image compression for various imagi...
Image compression is an application of data compression that encodes the original image with few bit...
The application of Run Length Encoding (RLE) algorithm in image compression cannot always reduce the...
In all the fields that make use of the images in a large scale for the image applications there is n...
In the domains that deal with a large scale image applications force the use of image compression in...
In the field of digital data there is a demand in bandwidth for the transmission of the videos and i...
The goal of image compression is to remove the redundancies by minimizing the number of bits require...
Due to size limitation and complexity of the hardware in transmission applications, multimedia syste...
In this paper, we present a novel and low-complexity lossless compression for gray-scale images. The...
Abstract:- Non reversible and lossy image compression techniques is known to be computationally more...
Image compression is a fast paced and dynamically changing field with many different varieties of co...
Onboard image compression systems reduce the data storage and downlink bandwidth requirements in spa...
There is an increase in demand of the storage capacity in mobiles, laptops and other digital devices...
Nowadays, compression of binary image is vital due to enormous amount of images that are being proce...
Image data is a combination of information and redundancies, the information is part of the data be ...
New innovative research trends are more essential in the area of image compression for various imagi...
Image compression is an application of data compression that encodes the original image with few bit...
The application of Run Length Encoding (RLE) algorithm in image compression cannot always reduce the...
In all the fields that make use of the images in a large scale for the image applications there is n...
In the domains that deal with a large scale image applications force the use of image compression in...
In the field of digital data there is a demand in bandwidth for the transmission of the videos and i...
The goal of image compression is to remove the redundancies by minimizing the number of bits require...
Due to size limitation and complexity of the hardware in transmission applications, multimedia syste...
In this paper, we present a novel and low-complexity lossless compression for gray-scale images. The...
Abstract:- Non reversible and lossy image compression techniques is known to be computationally more...
Image compression is a fast paced and dynamically changing field with many different varieties of co...
Onboard image compression systems reduce the data storage and downlink bandwidth requirements in spa...
There is an increase in demand of the storage capacity in mobiles, laptops and other digital devices...
Nowadays, compression of binary image is vital due to enormous amount of images that are being proce...
Image data is a combination of information and redundancies, the information is part of the data be ...
New innovative research trends are more essential in the area of image compression for various imagi...
Image compression is an application of data compression that encodes the original image with few bit...
The application of Run Length Encoding (RLE) algorithm in image compression cannot always reduce the...