3results about How to "Increase the difference" patented technology

The application provides a pre-processing method of to-be-compensated data, a picture compensation method and related equipment. The pre-processing method of to-be-compensated data comprises the following steps: acquiring first luminance data of a plurality of sub-pixels in a display panel when a to-be-compensated picture with a display gray scale less than or equal to a preset gray scale; determining first part sub-pixels and second part sub-pixels from the plurality of sub-pixels, adjusting the first luminance data of the first part sub-pixels to second luminance data, and adjusting the first luminance data of the second part sub-pixels to third luminance data; wherein the second luminance data is greater than the first luminance data, and the third luminance data is less than the first luminance data. By adopting the scheme of the application, more reasonable compensation data can be obtained when Mura compensation is performed, and a better compensation effect can be achieved.

An image processing apparatus and air conditioner include: an acquisition unit configured to acquire low-light and infrared images; and a processing unit comprising: a low-light image enhancement algorithm model, which includes: a gradient reconstruction module comprising: a frequency domain processing branch configured to transform the gradient map of the low-light image from the spatial domain to the frequency domain to extract the phase spectrum and amplitude spectrum; and a spatial domain processing branch configured to fuse the gradient map of the low-light image with the infrared image in the channel dimension; the gradient reconstruction module adds the residual of the spatial domain processing branch to the amplitude spectrum to obtain an enhanced amplitude spectrum; an amplitude-enhanced gradient map of the low-light image is obtained through an inverse Fourier transform between the enhanced amplitude spectrum and the original phase spectrum; and an enhanced visible light image is generated through an encoder-decoder architecture based on the gradient features of the amplitude-enhanced gradient map of the low-light image and the image features of the low-light image; this application has high accuracy and is suitable for use in smart home appliances.

This invention belongs to the field of multimedia analysis technology and discloses a multimodal media tampering detection method, system, device, and medium based on multi-view contrastive learning. The method includes: acquiring a training dataset, which includes training image-training text pairs and corresponding tampering category labels; introducing a cross-encoder based on a visual-language model, setting several multilayer perceptron head structures, and designing three contrastive learning methods: noise enhancement, prototype-based, and multi-label tampering classification, to obtain an initial multi-view contrastive learning framework; training the initial multi-view contrastive learning framework based on the training dataset to obtain a trained multi-view contrastive learning framework; and performing a tampering detection task on the image-text pair data to be detected based on the trained multi-view contrastive learning framework. The technical solution of this invention can improve the accuracy and robustness of multi-label classification.