3results about How to "Clear texture" patented technology

The utility model discloses a kind of multi-effect synergic anti-wrinkle non-deformation pearl plush forming device, belong to pearl plush processing technical field, its technical scheme main points include support frame, the inner side of the support frame is provided with conveying mechanism, hot setting mechanism is welded in the both sides of support frame top, the hot setting mechanism includes mounting bracket, screw rod, threaded sleeve, servo motor, connecting rod, rotating roller, several heating rods, setting roller and temperature sensor, heating rod in hot setting mechanism is evenly distributed in rotating roller surface, cooperate temperature sensor real-time monitoring temperature, and adjust through PLC feedback, ensure that setting roller surface temperature is stably in optimum range, both guarantee that fabric fiber is fully set, avoid damage or deformation caused by overheating, setting roller is driven screw rod to adjust height by servo motor, can be flexibly adjusted with the interval of conveying belt according to fabric thickness, ensure that pressure is uniform, make the texture of pearl plush surface set clear, form consistent, improve product appearance texture.

This invention relates to a Gaussian super-resolution reconstruction method based on physically consistent sparsity and frequency awareness, comprising: performing feature extraction and saliency prediction on the spacecraft image to be processed to obtain a multi-scale deep feature tensor and a foreground saliency mask; using the foreground saliency mask to perform spatial feature modulation on the multi-scale deep feature tensor to obtain a modulated multi-scale deep feature tensor; decoding the feature vector corresponding to each spatial position of the modulated multi-scale deep feature tensor to predict the corresponding Gaussian kernel parameters; based on the foreground saliency mask, performing a physically consistent hard gating operation on the opacity of all Gaussian kernel parameters to generate a sparsified set of Gaussian kernel parameters; and based on the sparsified set of Gaussian kernel parameters, obtaining the final super-resolution result image through differentiable Gaussian sputtering. This method can obtain high-quality arbitrary-scale super-resolution reconstruction results while meeting the high-performance requirements of spaceborne edge devices.