Compression of images in CFA format
buir.contributor.author | Çetin, A. Enis | |
buir.contributor.orcid | Çetin, A. Enis|0000-0002-3449-1958 | |
dc.citation.epage | 1144 | en_US |
dc.citation.spage | 1141 | en_US |
dc.contributor.author | Cüce, Halil İbrahim | en_US |
dc.contributor.author | Çetin, A. Enis | en_US |
dc.contributor.author | Davey, M. K. | en_US |
dc.coverage.spatial | Atlanta, GA, USA | en_US |
dc.date.accessioned | 2016-02-08T11:46:52Z | |
dc.date.available | 2016-02-08T11:46:52Z | |
dc.date.issued | 2006 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 8-11 October 2006 | en_US |
dc.description | Conference Name: International Conference on Image Processing, IEEE 2006 | en_US |
dc.description.abstract | In this paper, images in Color Filter Array (CFA) format are compressed without converting them to full-RGB color images. Green pixels are extracted from the CFA image data and placed in a rectangular array, and compressed using a transform based method without estimating the corresponding luminance values. In addition, two sets of color difference (or chrominance) coefficients are obtained corresponding to the red and blue pixels of the CFA data and they are also compressed using a transform based method. The proposed method produces better PSNR values compared to the standard approach of bilinear interpolation followed by compression. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T11:46:52Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2006 | en |
dc.identifier.doi | 10.1109/ICIP.2006.312758 | en_US |
dc.identifier.issn | 1522-4880 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/27181 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/ICIP.2006.312758 | en_US |
dc.source.title | Proceedings of the International Conference on Image Processing, IEEE 2006 | en_US |
dc.subject | Discrete cosine transforms | en_US |
dc.subject | Huffman codes | en_US |
dc.subject | Image coding | en_US |
dc.subject | Quantization | en_US |
dc.subject | A-transform | en_US |
dc.subject | Bilinear interpolation | en_US |
dc.subject | Color difference | en_US |
dc.subject | Color filter arrays | en_US |
dc.subject | Color images | en_US |
dc.subject | Compression of images | en_US |
dc.subject | Image data | en_US |
dc.subject | Luminance value | en_US |
dc.subject | Rectangular arrays | en_US |
dc.subject | Color | en_US |
dc.subject | Cosine transforms | en_US |
dc.subject | Imaging systems | en_US |
dc.subject | Metadata | en_US |
dc.subject | Pixels | en_US |
dc.title | Compression of images in CFA format | en_US |
dc.type | Conference Paper | en_US |
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