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Found 3 papers, 1 papers with code
WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing
In this paper, we introduce WaveDH, a novel and compact ConvNet designed to address this efficiency gap in image dehazing.
Attention-Aware Linear Depthwise Convolution for Single Image Super-Resolution
Although deep convolutional neural networks (CNNs) have obtained outstanding performance in image superresolution (SR), their computational cost increases geometrically as CNN models get deeper and wider.
Inception-Residual Block based Neural Network for Thermal Image Denoising
The proposed approach is tested for thermal images.
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