Peculiarities of 3D compression of noisy multichannel images
作者： Ruslan Kozhemiakin , Sergey Abramov , Vladimir Lukin , Igor Djurovic , Benoit Vozel
DOI: 10.1109/MECO.2015.7181936
关键词: Computer vision 、 Transform coding 、 Image compression 、 Data compression 、 Lossless compression 、 JPEG 、 Artificial intelligence 、 Discrete cosine transform 、 Mathematics 、 Texture compression 、 Block Truncation Coding
摘要: The paper addresses practical aspects of multichannel images compression. Color and are commonly characterized by high degree component correlation. This property can be exploited in 3D-compression techniques for achieving compression ratio. main goal this is to show that on basis discrete cosine (DCT) transform offers some advantages comparison 2D application DCT based coders.
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