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Digital Images and Image Compression
2009The demand for handling images in digital form has increased dramatically in recent years. Thanks to performance improvements and significant reductions in the cost of image scanners, photographs, printed text, and other media can now be easily converted into digital form (image digitization).
Majid Rabbani, Paul W. Jones
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Breaking Boundaries: Unifying Imaging and Compression for HDR Image Compression
IEEE Transactions on Image ProcessingHigh Dynamic Range (HDR) images present unique challenges for Learned Image Compression (LIC) due to their complex domain distribution compared to Low Dynamic Range (LDR) images. In coding practice, HDR-oriented LIC typically adopts preprocessing steps (e.g., perceptual quantization and tone mapping operation) to align the distributions between LDR and
Xuelin Shen +6 more
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On Relation of Image Compression and Image Association
Fundamenta Informaticae, 1997Based on two image compression schemes (MIT and RNS), it is shown that it is possible to associate similar object images using their intermediate representation. Thus both methods can be applied to large image database for both goals: high quality image compression and reliable search for queries by image content.
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2006
This chapter contains sections titled: Introduction Basic Concepts Lossless and Lossy Compression Techniques Image Compression Standards Image Quality Measures Tutorial 17.1: Image ...
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This chapter contains sections titled: Introduction Basic Concepts Lossless and Lossy Compression Techniques Image Compression Standards Image Quality Measures Tutorial 17.1: Image ...
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Image Compression – Facial Images
2010The sparse-representation viewpoint discussed so far, along with dictionary-learning, is merely that – a viewpoint. The theoretical results we have given merely tell us that sparse modeling is, in favorable cases, a mathematically well-founded enterprize with practically useful computational tools.
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