Title :
A two-component image coding scheme based on two-dimensional interpolation and the discrete cosine transform
Author :
Schumpert, J.H. ; Jenkins, R.J.
Author_Institution :
University of Virginia, Charlottesville, Virginia
Abstract :
An image coding algorithm is developed which exploits some of the desirable features of the spatial and the transform domains for image data compression. This scheme is based on a two-component source model similar to some previous results [1 ,2] , but has been generalized to include two-dimensional interpolation and transform coding. Rather than processing successive scan lines of image intensity, this algorithm approximates the image intensity over adjacent subpictures using a two-dimensional polynomial and codes the residual intensities using a discrete cosine transform (DCT). Compression results with rates in the 0.5 to 1.0 bits per pixel range are demonstrated by reconstructed images and rate-distortion characteristics.
Keywords :
Discrete cosine transforms; Frequency; Image coding; Image reconstruction; Interpolation; Least squares approximation; Least squares methods; Pixel; Polynomials; Quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.
DOI :
10.1109/ICASSP.1983.1171993