Common image compression algorithms like JPEG or JPEG2000 transform the individual pixel values into a domain that favors a compact representation.
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Common image compression algorithms like JPEG or JPEG2000 transform the individual pixel values into a domain that favors a compact representation.
We show that these dictionaries are suitable for image coding and lead to competitive compression results with respect to the baseline methods JPEG, JPEG2000.
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Aug 20, 2024 · Discriminative dictionary learning (DDL) has been confirmed to be effective for image classification. However, existing DDL approaches often ...
Missing: compression | Show results with:compression
Common image compression algorithms like JPEG or JPEG2000 transform the individual pixel values into a domain that favors a compact representation.
The intensity and label dictionaries are learned from training images with associated label information of (a subset) of the pixels based on a modified vector ...
The framework introduced in this paper addresses the learning of multiple dictionaries which are simultaneously reconstructive and discriminative, and the use ...
Feb 28, 2018 · In this paper, we propose a method for learning structured multilevel dictionaries with discriminative constraints to make them well suited for ...
In this paper, we propose a surveillance image compression technique via dictionary learning to fully exploit the constant characteristics of a target scene.
Interactive and discriminative analysis dictionary learning for image ...
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Jan 2, 2024 · Dictionary learning is widely utilized in pattern recognition, and analysis dictionary learning is a prevalent image classification method.
Missing: compression | Show results with:compression