108results about How to "Good image quality" patented technology

The invention provides a camera module, and an encapsulating structure and an encapsulating method thereof. The encapsulating structure of the camera module comprises a circuit board, an image sensing chip, a passive element, an encapsulating part and an infrared filter, wherein the circuit board is provided with a first surface and a second surface; the image sensing chip and the passive element are arranged on the first surface of the circuit board, and the image sensing chip is provided with a sensing region and a non-sensing region and electrically connected with the circuit board; the encapsulating part is arranged on the first surface of the circuit board and at least part of the non-sensing region of the image sensing chip and encompasses the passive element; the infrared filter is arranged on the encapsulating part and located in a position above the sensing region of the image sensing chip, and forms an enclosure space together with the encapsulating part and the sensing region of the image sensing chip. The infrared filter of the encapsulating structure of the camera module is smaller in size so as to facilitate material saving and cost reduction; besides, impurities such as dust are unlikely to fall or be left in the enclosure space, so that the imaging quality is high.

The invention relates to an image restoration method and system based on priori knowledge constraint and computer equipment. The image restoration method comprises the steps of constructing a missingcontent generation network, wherein the missing content generation network comprises a generator used for receiving an image with a missing area and outputting a restored image, and a discriminator used for identifying a training result when the missing content generation network is trained; constructing a content constraint network, wherein the content constraint network is used for providing constraint conditions for the generator to output the restored image; training the missing content generation network by using a data set in a specified field; generating a network based on the trained missing content, and performing iterative optimization through back propagation by taking the conditional network as a constraint to obtain a hidden variable; and inputting the image with the missing region into the trained missing content generation network, and solving the restored image by combining the hidden variable of the missing content generation network.

The present invention relates to a method for making environment-protecting type high-clearness photograph by means of processing image data existed in the electronic form and combining ink-jet printing technique with transfer technique and its special-purpose equipment. It includes the following steps: (1). inputting the data signal into computer working station; (2) properly processing image file with formed digital format and converting it into the data which can be read by printing machine; (3) using printer to print the data on the transfer paper; (4). using thermal transferring machine to transfer it on the photograph carrier; and (5) cutting the photograph image transferred on the photograph carrier by using cutting device.