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Image compression using quality measures
| dc.contributor.author | Shukla K.K.; Prasad M.V. | |
| dc.date.accessioned | 2025-05-24T09:58:15Z | |
| dc.description.abstract | This chapter discusses domain decomposition algorithms using quality measures like average difference, entropy, mean squared error and a fuzzy geometry measure called fuzzy compactness. All the partitioning methods discussed in this chapter execute in O(nlogn) time for encoding and θ(n) time for decoding, where n is the number of pixels in the image. © K. K. Shukla 2011. | |
| dc.identifier.doi | https://doi.org/10.1007/978-1-4471-2218-0_3 | |
| dc.identifier.uri | http://172.23.0.11:4000/handle/123456789/23094 | |
| dc.relation.ispartofseries | SpringerBriefs in Computer Science | |
| dc.title | Image compression using quality measures |