In the last years, the development of compression algorithms for image collections (e.g., photo albums) has become very popular due to the enormous diffusion of digital photographs. Typically, current solutions create an image sequence from images of the photo album to make them suitable for compression using a High Performance Video Coding (HEVC) encoder. In this study, we investigated a different approach to compress a collection of similar images. Our main idea is to exploit the inter- and intra- patch redundancy to compress the entire set of images. In practice, our approach is equivalent to compress the image set with Vector Quantization (VQ) using a global codebook. Our tests show that our clusterization algorithm is effective for a large number of images.
Image Sets Compression Via Patch Redundancy / Corsini, M.; Banterle, F.; Ponchio, F.; Cignoni, P.. - 2019-:(2019), pp. 10-15. (Intervento presentato al convegno 8th European Workshop on Visual Information Processing, EUVIP 2019 tenutosi a Roma, Italy nel 2019) [10.1109/EUVIP47703.2019.8946237].
Image Sets Compression Via Patch Redundancy
Corsini M.;
2019
Abstract
In the last years, the development of compression algorithms for image collections (e.g., photo albums) has become very popular due to the enormous diffusion of digital photographs. Typically, current solutions create an image sequence from images of the photo album to make them suitable for compression using a High Performance Video Coding (HEVC) encoder. In this study, we investigated a different approach to compress a collection of similar images. Our main idea is to exploit the inter- and intra- patch redundancy to compress the entire set of images. In practice, our approach is equivalent to compress the image set with Vector Quantization (VQ) using a global codebook. Our tests show that our clusterization algorithm is effective for a large number of images.
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