Image conversion

About: Image conversion is a research topic. Over the lifetime, 2490 publications have been published within this topic receiving 19077 citations.

Method, device, and computer-readable medium for compressing image

Abstract: The present invention relates to a method of compressing an image, for maintaining an image format, and providing an image having a high compressibility while minimizing image quality degradation for an original image regardless of the image format. The method of compressing an image embodied in a computing device according to an embodiment of the present invention includes: a file format determination step of determining whether a file format of an original image is a lossy compressed image, a lossless compressed image, or an uncompressed image; an image block division step of dividing the original image into a plurality of image blocks; and an image conversion step of converting the original image in a different manner according to the file format of the original image.

Coarse-to-fine infrared and visible light image registration method by adopting geometric construction characteristics

Abstract: The invention relates to a coarse-to-fine infrared and visible light image registration method by adopting geometric construction characteristics. The coarse-to-fine infrared and visible light image registration method comprises the following steps: (1) independently extracting two geometric construction characteristics, i.e. an image edge and an interest point from an infrared and visible light image to make a preparation for subsequent image registration; (2) solving an initial transformation parameter by adopting an edge alignment algorithm to look for image conversion which can enable the edge overlapping rate of two pictures to be maximum; (3) reducing a to-be-matched area of each interest point into a neighbourhood range of a transformation point by approximate transformation calculated by a previous step of calculation so as to eliminate the interference of irrelevant points, and then, executing a matching operation of the interest point of the to-be-matched area by adopting a SIFT (Scale Invariant Feature Transform) descriptor; (4) executing an improved RANSAC (Random Sampling Consistency) operation to an initial matching point pair so as to remove wrong matching point pairs; and (5) calculating more accurate final image transformation by adopting residual correct matching point pairs to finish a registration task.

Prior Image Transformation for Presbyopia Employing Serially-Cascaded Neural Network

Abstract: Visual functions of the elderly are gradually changing with age. As one of the changes, aged eyes have a different property in perceiving high-frequency components from younger eyes. In general, the elderly perceives images differently from the younger. To give the same perception for the same image, a different image from an original image needs to be displayed to the elderly. In this paper, a method of generating the inverse characteristic of the image filter for the presbyopia is proposed. To this end, a serially-cascaded neural network model is proposed. The neural network is composed of 4 layers. The 4-layer neural network is divided into 2 blocks on the aspect of function. The upper and the lower layers play a role of simulating the image conversion and obtaining its opposite characteristic, respectively. The performance of the proposed framework is evaluated by the experiments on the image pre-conversion for the presbyopia.

Liquid crystal display device for stereoscopic display

Abstract: Provided is a liquid crystal display device for stereoscopic display, with which it is possible to make an observer aware of a stereoscopic image with distinct edges by alleviating the crosstalk phenomenon. A liquid crystal display device for stereoscopic display (100) alternately displays a right-eye image and a left-eye image on a liquid crystal panel (1) in two sub-frames at a time. The liquid crystal display device comprises: an image comparison unit (9) which extracts pixels in the right-eye image and the left-eye image which have a tone difference which is greater than or equal to a prescribed threshold value; and an image conversion unit (11) which, with the pixels extracted with the image comparison unit (9), in the two sub-frames which display the image, from the right-eye image and the left-eye image, which has the higher tone of the extracted pixels, converts the tone of the pixels in preceding sub-frames to a value higher than the raw tone, and converts the tone of the pixels in subsequent sub-frames to a value lower than the raw tone.

Imaging system and method for cardiovascular and cerebrovascular detection

Abstract: The invention provides an imaging system and method for cardiovascular and cerebrovascular detection, and belongs to the technical field of medical imaging. The imaging system comprises an image acquisition module, an image pre-segmentation module, an image secondary segmentation module, an image conversion module and a display module which are connected in sequence. The image pre-segmentation module adopts a finite mixed normal distribution image pre-segmentation model to pre-segment the two-dimensional image of the cross section of the blood vessel, and preliminarily extracts a blood vesselsignal of each layer; then, the image secondary segmentation module performs secondary segmentation on the blood vessel signal of each layer by adopting an image segmentation model, and filters out aninterference signal to obtain a blood vessel image of each layer; and finally, the image conversion module converts the blood vessel image of each layer into a blood vessel three-dimensional image byadopting a maximum density projection method. According to the method, image pre-segmentation and secondary segmentation are combined, interference signals except blood vessels are filtered out stepby step, and a high-precision blood vessel three-dimensional image can be obtained.