Title :
Least-squares trilinear interpolation for digital video coding
Author :
Dreveny, C.W. ; Bruton, L.T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
Abstract :
When using digital images or video, the amount of storage space or transmission bandwidth required can be quite large when the media is in its raw form. An adaptive sampling and interpolation video coding method, employing least-squares trilinear interpolation is introduced. A recursive splitting method that creates an adaptive sampling grid, is described, along with a discussion concerning the interpolation of these samples for the reconstruction of the image sequence. An error-minimizing step that reduces the interpolation error during coding of the sequence is introduced and results are presented
Keywords :
Huffman codes; adaptive codes; image reconstruction; image sampling; image sequences; interpolation; least squares approximations; video coding; DPCM-Huffman coding; adaptive sampling grid; digital video coding; error-minimizing step; image sequence reconstruction; least-squares trilinear interpolation; recursive splitting method; reduced computational requirements; Decoding; Discrete cosine transforms; Frequency; Image reconstruction; Image sampling; Image sequences; Interpolation; Mesh generation; Video codecs; Video coding;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.858848
