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264results about How to "Improve subjective quality" patented technology

Multiframe digital image denoising method based on space domain and time domain combination filtering

The invention discloses a multiframe digital image denoising method based on space domain and time domain combination filtering. The method comprises the following steps of inputting multiframe digital images of a same scene, wherein the multiframe digital images are collected under a low illumination environment; selecting a clearest image from the multiframe images as an reference image; carrying out global and local registration on the multiframe images; taking the reference image as a reference, establishing a similar group which is similar to a local area in the reference image in the space domain and the time domain and using the similar group to carry out collaboration filtering on the local area in the reference image; using brightness information in the images after the filtering and pixel distribution information to successively carry out color correction and contrast enhancement on the images after the filtering so as to acquire the images after denoising. By using the method of the invention, influences of factors of a noise, a motion blur and the like in the digital images on image quality are effectively restrained; noise suppression is performed and simultaneously a detail texture in the images is effectively retained. The method can be used for increasing the image quality in a digital image acquisition device under the low illumination environment.
Owner:XIDIAN UNIV

HEVC (High Efficiency Video Coding) code rate control method based on region-of-interest

The invention provides an HEVC (High Efficiency Video Coding) code rate control method based on region-of-interest. The HEVC code rate control method based on region-of-interest comprises the steps: generating a spatial domain significance graph of the current frame according to a GBVS (Graph Based Visual Saliency) model; generating a time domain significance graph of the current frame through motion vector information; integrating the time domain significance graph and the spatial domain significance graph by using the consistency normalization method to obtain the eventual significance graph; performing regional division for the current frame image by using the significance graph so as to divide the region into a region-of-interest and a non-region-of-interest; performing bit distribution for the region-of-interest and the non-region-of-interest respectively; performing bit distribution for each LCU in the current frame according to the significance; calculating lambda and a QP (Quantization Parameter) value according to the distributed code rate, and clipping and correcting the lambda and the QP value; and performing coding by using the eventually obtained lambda and the QP value. The HEVC code rate control method based on region-of-interest can improve the subjective quality for video coding and accurately control the output bit at the same time.
Owner:SHANGHAI UNIV

Multi-view video code rate control method based on key frame code rate-quantitative model

The invention discloses a multi-view video code rate control method based on a key frame code rate-quantitative model. Code rate control is carried out at four layers including a view layer, a GOP layer, a frame layer and a macro block layer, and code rates among view points are allocated according to scale values of actual coding of the view points in the view layer; the total code rate of the whole GOP is allocated in the GOP layer and a coding quantization parameter of the key frame of each GOP is calculated according to the key frame code rate-quantitative model of the key frame, wherein the key frame code rate-quantitative model is obtained through analysis; code rates are allocated in the frame layer according to code rate allocation weights of B frame of different levels reasonably; and code rates of macro blocks are allocated in the macro block layer according to coding complexities of the macro blocks and coding quantization parameters of the macro blocks are solved. The multi-view video code rate control method has the advantages that the code rate-quantization model of the key frame is utilized, and an unequal code rate allocation strategy is adopted for the B frames of different levels, so that target bit allocation can be carried out more reasonably, code rate control is effectively carried out, and better rate-distortion performance and subjective quality are provided under the condition that code rate control precision is ensured.
Owner:NINGBO UNIV

Palette device and generation method for image with transparency information

The invention discloses a palette device and a generation method for an image with transparency information. The method comprises the following steps: defining the number of independent entries in an appointed palette as K; quantifying RGB (Red, Green and Blue) three primary colors and transparency value of the image with the transparency information; generating K RGB palette entries with Alpha transparency value; obtaining index values of all pixels of the image; and finally saving the values to form a PNG (Portable Network Graphic) 8 image. According to the invention, the RGB three primary colors and the Alpha transparency are quantified; during quantification, taking the influence of the Alpha transparency of the image to the display effect of the RGB three primary colors into consideration, the quantification series at a lower Alpha transparency value are reduced, and the palette entries are subjectively distributed in a more reasonable manner; when the length of the palette is smaller, a palette initial value obtained according to pixel frequency is subjected to LBG vector quantification, so as to avoid the phenomenon that too much colours lose due to small frequency and effectively reduce the distortion of the quantified image; and when the length of the palette is larger, a Freud jitter method is adopted in the image quantification process so as to effectively improve the subjective quality of the image.
Owner:DALIAN UNIV OF TECH
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