Add to ORKGA two dimensional differentiation approach is presented for the lossless compression of several classes of images. This technique is based on computing weighted differences between neighboring pixels. The performance of the new technique given here and the existing Joint Photographic Experts Group (JPEG) predictors approach are evaluated and compared for the lossless compression of different classes of images in several applications. The proposed approach yields better results compared with that obtained employing the lossless JPEG scheme. Arithmetic coding is used to code the residue sequence of both approaches
Abstract:Lossless image compression is a class of image compression algorithms that allows the origi...
This paper describes a simple and efficient method of colour image compression/decompression using t...
For some classes of signals, particularly those dominated by low frequency components, such as seism...
Lossless compression of medical images using a proposed differentiation technique is explored. This ...
Lossless compression of medical images using a proposed differentiation technique is explored. This ...
A technique for the lossless compression of images is proposed. The algorithm employed here is based...
A technique for the lossless compression of images is proposed. The algorithm employed here is based...
For some classes of signals, particularly those dominated by low frequency components, such as seism...
An algorithm for the lossless compression of two-dimensional signals is proposed. This approach is b...
An algorithm for the lossless compression of two-dimensional signals is proposed. This approach is b...
An efficient prediction-based lossless compression scheme is proposed in this paper.The lossless cod...
A 2-D lossless predictive coding system is implemented using several existing and recently proposed ...
Abstract. In predictive coding a group of neighboring picture elements is used to select a suitable ...
[[abstract]]We propose a lossless image compression method, in which we compress an image by saving ...
This paper introduces a new method of compressing digital images by using the Difference Transform a...
Abstract:Lossless image compression is a class of image compression algorithms that allows the origi...
This paper describes a simple and efficient method of colour image compression/decompression using t...
For some classes of signals, particularly those dominated by low frequency components, such as seism...
Lossless compression of medical images using a proposed differentiation technique is explored. This ...
Lossless compression of medical images using a proposed differentiation technique is explored. This ...
A technique for the lossless compression of images is proposed. The algorithm employed here is based...
A technique for the lossless compression of images is proposed. The algorithm employed here is based...
For some classes of signals, particularly those dominated by low frequency components, such as seism...
An algorithm for the lossless compression of two-dimensional signals is proposed. This approach is b...
An algorithm for the lossless compression of two-dimensional signals is proposed. This approach is b...
An efficient prediction-based lossless compression scheme is proposed in this paper.The lossless cod...
A 2-D lossless predictive coding system is implemented using several existing and recently proposed ...
Abstract. In predictive coding a group of neighboring picture elements is used to select a suitable ...
[[abstract]]We propose a lossless image compression method, in which we compress an image by saving ...
This paper introduces a new method of compressing digital images by using the Difference Transform a...
Abstract:Lossless image compression is a class of image compression algorithms that allows the origi...
This paper describes a simple and efficient method of colour image compression/decompression using t...
For some classes of signals, particularly those dominated by low frequency components, such as seism...