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dc.contributor.authorKau, Lih-Jenen_US
dc.contributor.authorLin, Yuan-Peien_US
dc.date.accessioned2014-12-08T15:04:02Z-
dc.date.available2014-12-08T15:04:02Z-
dc.date.issued2008en_US
dc.identifier.isbn978-1-4244-1483-3en_US
dc.identifier.issn1520-6149en_US
dc.identifier.urihttp://hdl.handle.net/11536/2530-
dc.description.abstractMany coding methods are more efficient with certain types of images than others. In particular, run-length coding is very useful for coding areas of little changes. Adaptive predictive coding achieves high coding efficiency for fast changing areas like edges. In this paper, we propose a switching coding scheme that will combine the advantages of both Run-length and Adaptive Linear Predictive coding (RALP) for lossless compression of images. For pixels in slowly varying areas, run-length coding is used; otherwise LS (least square)-adapted predictive coding is used. Instead of performing LS adaptation in a pixel-by-pixel manner, we adapt the predictor coefficients only when an edge is detected so that the computational complexity can be significantly reduced. For this, we propose an edge detector using only causal pixels. This way, the predictor can look ahead if the coding pixel is around an edge and initiate the LS adaptation in advance to prevent the occurrence of a large prediction error. With the proposed switching structure, very good prediction results can be obtained in both slowly varying areas and pixels around boundaries as we will see in the experiments.en_US
dc.language.isoen_USen_US
dc.subjectlossless image codingen_US
dc.subjectedge detectionen_US
dc.subjectadaptive predictionen_US
dc.subjectleast-squares optimizationen_US
dc.subjectrun-length encodingsen_US
dc.titleLeast squares-adapted edge-look-ahead prediction with run-length encodings for lossless compression of imagesen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12en_US
dc.citation.spage1185en_US
dc.citation.epage1188en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000257456700297-
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