Machine Learning, Compression, and Image Quality.
Steven A. IsraelJohn M. IrvineSteven TatePublished in: AIPR (2020)
Keyphrases
- image quality
- compression ratio
- machine learning
- lossy compression
- perceptual quality
- compression artifacts
- data compression
- image fidelity
- visual quality
- image quality measures
- reconstructed image
- compression rate
- compression scheme
- human visual system
- high compression ratio
- image data
- high quality
- lossless compression
- image compression
- bit rate
- machine learning methods
- bits per pixel
- image resolution
- peak signal to noise ratio
- quality assessment
- high image quality
- pixel values
- block truncation coding
- compression algorithm
- information extraction
- arithmetic coding
- learning algorithm
- computer vision
- decision trees
- text mining
- text classification
- image quality assessment
- quality metrics
- human perception
- machine learning algorithms
- image quality metrics
- feature selection
- compressed images
- high dynamic range
- reconstructed image quality
- data mining