Profile User: redcalx Name: redcalx Page Summary · Deep Learning for Image Compression Latest Month September 2019 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Search Search:

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You can subsequently use these to reconstruct similar images from weighted combinations of these features.



JPEG compression uses a similar weighted combination of image components, based on the discrete cosine transform...



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(JPEG2000 replaced this with a wavelet based model of which I know little).



Potentially then we could obtain a set of filters from deep learning on some library of images and swap them into the JPEG algorithm. You may want different sets of fitlers for different types of images - e.g. portraits, landscapes, etc.



Of course JPEG starts by breaking the image into 16x16 (usually) squares which is quite crude really but it does keep a lid on CPU workload. You could almost say it was axiomatic that the future of image compression is in deep learning type approaches, as both learning/intelligence and compression are about modelling low level variation with more compact high level representations. Deep learning on image data gets you a set of filters or image components such as these...From http://www.cs.nyu.edu/~yann/research/deep/ You can subsequently use these to reconstruct similar images from weighted combinations of these features.JPEG compression uses a similar weighted combination of image components, based on the discrete cosine transform...From http://en.wikipedia.org/wiki/JPEG (JPEG2000 replaced this with a wavelet based model of which I know little).Potentially then we could obtain a set of filters from deep learning on some library of images and swap them into the JPEG algorithm. You may want different sets of fitlers for different types of images - e.g. portraits, landscapes, etc.Of course JPEG starts by breaking the image into 16x16 (usually) squares which is quite crude really but it does keep a lid on CPU workload. You could almost say it was axiomatic that the future of image compression is in deep learning type approaches, as both learning/intelligence and compression are about modelling low level variation with more compact high level representations. Tags: machine learning Speak

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