100 results about "Poor Quality Image" patented technology

The invention discloses a scanning type ink-jet printing control method, device and equipment and a storage medium. The method comprises the following steps that the spray head resolution of currentlyused printing equipment and the printing resolution required by a to-be-printed image are obtained, the printing coverage times in a unit area of the to-be-printed image are acquired according to thespray head resolution and the printing resolution, a stepping mode of a spray head in the stepping direction relative to a printing medium in the printing process is acquired according to the printing coverage times, printing data required by each-time scanning of the spray head in the scanning direction are extracted from image data corresponding to the to-be-printed image according to the stepping mode, and the spray head is controlled to perform ink-jet printing according to the printing data. According to the method, the stepping mode is determined by combining the printing requirement, the problem of poor image quality caused by printing equipment characteristic errors and ink component deviation is eliminated by adopting the specific stepping mode, and therefore the quality of imageprinting is ensured.

The invention discloses a plate number character vote algorithm based on SVM confidence. Aiming at a plate number recognition system based on video flows, the plate number character vote algorithm based on the SVM confidence is designed. The method comprises the steps as follows: whether voting is performed is determined according to a plate number detection result; then aiming at characteristics of plate numbers in mainland China, three SVM classifiers are trained respectively, SVMs are used for performing character recognition, and confidence corresponding to each character is output; and finally, a recognition result of each frame is voted according to the confidence, characters with the maximum confidence are selected when the voting is ended, so that a correct plate number is formed. According to the method, the plate number output finally can be guaranteed to have the highest reliability; and for conditions that the light condition is poorer, the image quality is poor, plate numbers are dirty, and the like, higher recognition rates are also realized after voting processing.

The invention discloses a digital imaging acquisition system for aggregate grading detection. The system consists of an aggregate sampling device, an image acquiring device, an optical processing optimizer and communication and storage equipment, wherein the aggregate sampling device comprises a material dividing plate, a distance adjusting rod and an angle adjusting rod; the image acquiring device comprises an infrared laser, a linear array camera and an image acquiring card; the optical processing optimizer comprises a filter device and a diffuse coating layer; and the communication and storage equipment comprises a data line and a computer. A digital imaging acquisition method for aggregate grading detection comprises the following steps of: setting the aggregate sampling device; setting the image acquiring device; setting the communication and storage equipment; acquiring an image of a sampled aggregate; and transmitting and storing the image. An aggregate stream is sampled and acquired by arranging the material dividing plate, so the problem that the image of a falling stream of the aggregate must be completely acquired is solved and the defects of poor quality of the acquired image, difficult separation of particles and a large amount of processing data are overcome.

The invention puts forward a degraded image overall quality improving method in a complex environment and the method is used for solving a problem that poor image quality is caused because degrading factors are not fully overcome in conventional degraded image processing procedures in the complex environment. The degraded image overall quality improving method comprises the following steps: based on a dark channel prior theory, a dark channel of each of a plurality of degraded image frames to be processed is calculated, and therefore a plurality frames of dark channel images are obtained; via use of the plurality frames of obtained dark channel images, each frame of degraded image to be processed is subjected to defogging operation, and a plurality frames of defogged images are obtained; the plurality frames of defogged images are subjected to denoising operation, and therefore a plurality frames of denoised images are obtained; the plurality frames of denoised images are subjected to deblurring operation via a blind restoration method, and therefore a plurality frames of clear images are obtained; the plurality frames of obtained clear images are subjected to super-resolution reconstruction operation based on multiple frame and single frame combination, and finally high-resolution clear images can be obtained. Via use of the degraded image overall quality improving method, obtained images are rich in detailed information, and the degraded image overall quality improving method can be applied to the fields of safety monitoring, traffic detection, safety verification systems and the like.

The invention provides a generative robust image steganography method, which comprises the following steps of: constructing an image data set, and preprocessing the image data set; constructing and initializing a deep learning network architecture; training a deep learning network architecture by adopting a joint-fine adjustment method to obtain a network architecture model; and generating a secret-carrying pseudo graph by using the network architecture model and carrying out secret communication to complete an image steganography process. According tothe image steganography method, a generative adversarial network StyleGAN is utilized to fuse the embedding process of the secret information into the generation process of the image; a generative image steganography architecture which can bear secret information with relatively large capacity and has certain robustness is constructed; therefore, the obtained generative image steganography method has the advantages of being large in embedded capacity, good in generated image quality, high in secret-loaded image statistics undetectability, high in practicability and the like, and the problems that an existing generative image steganography method is poor in secret-loaded image quality, low in embedded capacity, low in information extraction accuracy and the like are solved.

The invention discloses a fatigue driving recognition method and system based on multiple features, and the method and system carry out the preprocessing of an image, filter noise, and avoid problemsthat the image quality is poor and the detection precision is low because the image is affected by an external environment factor. The AdaBoost algorithm is adopted to stably, quickly and efficientlydetect the human face, so that the complexity of human face detection is reduced. According to the scale space-based face target tracking algorithm, a self-adaptive high-confidence updating strategy is adopted, and when an error occurs in a target tracking stage, the confidence of target detection is relatively low, and a model is not updated, so that the risk of drifting of the tracking algorithmis effectively reduced, and the tracking precision is improved. The SVM classifier is adopted for eye state recognition, the precision of eye state recognition is improved, and therefore the method is high in recognition precision and high in adaptability to the environment.

A method of hiding transparent electrodes on a transparent substrate coats a solution of non-conductive nanoparticles onto the transparent substrate and the transparent electrodes after forming a plurality of transparent electrodes on the transparent substrate, and both non-conductive nanoparticles and transparent electrodes have the same reflective index of light. After a high-temperature thermal processing is performed to the transparent substrate, an even mask is formed on the transparent substrate and the transparent electrodes, such that the non-conductive nanoparticles in the mask provide the same reflective index of light for the positions of the transparent substrate with and without the transparent electrodes, so as to effectively prevent a different reflective index of light at any position of the transparent substrate that will cause a poor image quality of the screen.

The invention discloses an image enhancement method and a computer readable storage medium, aiming at improving the image quality. The image enhancement method includes the steps of converting an image to be processed from an RGB color space into an HIS color space; subjecting a luminance component of the image to be processed to histogram distribution statistics and histogram equalization so as to obtain a pixel value of the image to be processed; correcting histogram distribution of the luminance component of the image to be processed by histogram distribution of a luminance component of a guide image, and acquiring the luminance component of the image to be processed, wherein the guide image is part of or all of an image related to the image to be processed and higher than that in quality or part of the image to be processed; converting the luminance component of the corrected image from the HIS color space into the RGB color space. The image enhancement method has the advantages that the high-quality clear image with similar scenes is used for guiding enhancement of the poor-quality image, so that a contrast ratio of the image can be increased effectively and image details areenhanced.

An intelligent device for switching Camera Link to a serial digital interface (SDI) relates to the technical field of image processing and solves the problems that the existing various cameras based on a Camera Link interface can not display on a monitor directly and quality of displayed images is poor. The device comprises a field programmable gate array (FPGA), a digital signal processor (DSP), a synchronous dynamic random access memory (SDRAM) and an SDI module. The Camera Link interface receives image data output by a camera and transmits the image data to the FPGA, the FPGA conducts noise-reducing processing on the received image data and transmits the image data to the DSP, and the DSP receives the image data through a video port (VP), transmits the image data to the SDRAM to be stored in an EDMA mode, reads the image data in the SDRAM in an external memory interface (EMIF) bus mode and processes the data, and transmits the processed image data to the SDI module. Use and carrying of the device are convenient.

In some cases, conventional digital zoom techniques can lead to poor quality images. Disclosed are systems and methods for improving the quality of images generated by digital zoom. For example, in some embodiments, a parallel structure is utilized where an image is passed through a sharpener and a 2D directional upscaler at the same time. Upscaling operations are then performed on the sharpened image. The upscaled sharpened image is added to the output of the 2D directional upscaler to produce an enhanced image.

The invention discloses a single image defogging method based on a multi-scale self-attention generative adversarial network, and the method comprises the steps: carrying out the training of a generative adversarial network model constructed through the downsampling of an image twice through a training set formed by the normalization of the image, and obtaining a trained generative adversarial network model; and optimizing the defogging result by using a loss function in the training process, and finally inputting the foggy image into the generative adversarial network model to obtain a defogged image. According to the single image defogging method provided by the invention, the problem of poor defogged image quality in the prior art is solved.

The invention discloses an image fusion method and device, electronic equipment and a medium. The method comprises the steps of obtaining a color image photographed in a flash lamp turn-on state and ablack and white image photographed in a flash lamp turn-off state, wherein a photographing object of the color image is the same as the photographing object of the black and white image; carrying outregistration on the black and white image and the color image; and fusing color information of the color image to the black and white image, and generating a result image. According to the method, the device, the electronic equipment and the medium provided by the invention, the problem that in the prior art, the image quality is low due to the fact that an image generated through fusion of double cameras: a color camera and a black and white camera is limited by the color image is solved, and the technical effect of improving the image quality is improved.

The invention discloses an illumination method based on picture level images. The method mainly includes the steps that an illumination equation is resolved through a particular solution Legendre polynomial in a Legendre equation; spherical harmonic coefficients are utilized, a resolved function is projected through a spherical harmonic function, and then the restored illumination equation is obtained; the illumination value of an environment map and the color value of a map are multiplied, and the obtained result is the final pixel color value. According to the illumination method based on the picture level images, the defects that in the prior art, the image processing difficulty is large, the image quality is poor, and the simulation effect is not good can be overcome, and the advantages that the image processing difficulty is small, the image quality is good, and the simulation effect is good are achieved.

A system and method for detecting poor quality images in an optical tomography system includes an acquisition apparatus for acquiring a set of pseudo-projection images of an object having a center of mass, where each of the set of pseudo-projection images is acquired at a different angle of view. A reconstruction apparatus is coupled to receive the pseudo-projection images, for reconstruction of the pseudo-projection images into 3D reconstruction images. A quality apparatus is coupled to receive the 3D reconstruction images and operates to detect of selected features that characterize poor quality reconstructions.

The invention discloses a recording and photographing method, device and terminal electronic equipment. The recording and photographing method comprises: detecting a photographing instruction in the recording process; when the photographing instruction is detected, acquiring at least one frame of image of the current scene; and determining a photo of the current scene according to the quality of the at least one frame of image. According to the recording and photographing method, when the photographing instruction sent by a user is detected during recording, at least one frame of image can be photographed for the current scene, and the final image with high quality is determined as a photo according to the quality of the at least one frame of image, so that the problem of poor image quality of photos photographed in the recording process is solved without using two independent recording and photographing modules.

A video image coding apparatus which realizes appropriate allocation of an information amount to individual image divisions to reduce the difference in picture quality among different divisions of a decoded image. An input video image signal is into a plurality of image divisions by an image dividing section, and the image divisions are compressed coded by a plurality of coding sections. Resulting compression encoded data are multiplexed by a multiplexing section re-construct compression encoded data, and the compression encoded data are outputted as a compression stream. A coordinated coding control section receives some or all of coding parameters, image status parameters and coding result parameters of the coding sections and adjusts the parameters to be used for compression encoding by the coding sections in a control period or under a control condition determined in advance.

A setting apparatus that sets a movement path of a virtual viewpoint, the setting apparatus including: a specification unit configured to specify one or a plurality of virtual viewpoints and an object of interest; and a setting unit configured to set, based on the one or the plurality of virtual viewpoints and the object of interest specified by the specification unit, the movement path of the virtual viewpoint such that a difference of image quality between objects of interest falls within a predetermined range, the object of interest existing in each of a plurality of virtual viewpoint images generated in accordance with the movement path of the virtual viewpoint.