Connectiv- ity data of the 3D model de¯nes the interpixel correlations in the projection image. Thus the wavelet transforms used in image processing do not give good results on this representation. CGAWT is de¯ned to take advantage of interpixel correlations in the image-like ...
In this paper, we propose an end-to-end image compression model to defend adversarial examples: ComDefend. The proposed model consists of a compression convolutional neural network (ComCNN) and a reconstruction convolutional neural network (ResCNN). The ComCNN is used to maintain the structure ...
An edge-preserving image compression model is presented, based on subband coding and iterative constrained least square regularisation. The idea is to incorporate the technique of image restoration into the current lossy image compression schemes. The model utilises the edge information extracted from th...
A major distinctive aspect of our compression technique is that repeating geometric features in the geometric model are automatically discovered and then compactly encoded. The proposed method discovers repetition first at the connected component level and then at the subcomponent level across components ...
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Compression Windows.Storage.FileProperties Windows.Storage.Pickers Windows.Storage.Pickers.Provider Windows.Storage.Provider Windows.Storage.Search Windows.Storage.Streams Windows.System Windows.System.Diagnostics Windows.System.Diagnostics.DevicePortal Windows.System.Diagnostics.Telemetry Windows.System.Diagnostics....
Keywords: image captioning; model compression; pruning; quantization 1. Introduction One of the most significant tasks combining two different domains such as CV and NLP is the image-captioning task [1]. Its goal is to automatically generate a caption describing an image given as an input. The...
Talbot-Lau interferometry; X-ray phase-contrast imaging; image fusion; non-subsampled contourlet transform; spiking cortical model 1. Introduction X-ray imaging techniques, such as mammography [1] and computed tomography (CT) [2], have become indispensable diagnostic tools for investigating the ...
Five chained transformations: Fill to a 250*400px portrait, then rotate the result by 20 degrees, then add a brown outline to the rotated image, and optimize the resulting image to deliver with the best compression that gives good visual quality and in the optimal transparent format: Named...
This makes it suitable for assessing the effectiveness of algorithms in tasks like image compression, watermarking, and denoising, especially where color fidelity is crucial. Figure 7 Visual analysis of grayscale image denoising using the Set12 and BSD68 datasets with noise level \(\sigma =25, ...