Loss functions for denoising compressed images: a comparative study.
Thomas OberlinFrançois MalgouyresJin-Yi WuPublished in: EUSIPCO (2019)
Keyphrases
- loss function
- compressed images
- denoising
- spatially adaptive
- image compression
- image denoising
- visual quality
- pairwise
- image processing
- total variation
- learning to rank
- natural images
- support vector
- noisy images
- frequency domain
- reconstructed image
- dct domain
- risk minimization
- compression ratio
- denoising algorithm
- wavelet domain
- compressed domain
- reproducing kernel hilbert space
- spatial domain
- discrete cosine transform
- convex loss functions
- denoising methods
- bitstream
- compression algorithm
- image quality
- loss minimization
- peak signal to noise ratio
- bit rate
- high quality