Abstract: The present invention provides an image denoising method and an image denoising apparatus. The image denoising method includes performing preliminary denoising processing to an acquired image to be processed, so as to obtain a preliminarily denoised image; calculating a residual quantity corresponding to a central pixel of each unit area in the image to be processed according to numerical values of specific energy parameters to which the image to be processed and the preliminarily denoised image correspond, respectively; and using the residual quantity to calculate a weight matrix corresponding to each unit area, and performing non-local mean value calculation to the image to be processed according to the weight matrix, so as to realize the denoising processing of the image to be processed. The image denoising method is able to denoise effectively, and make a denoised image more visually natural.

Abstract: The present invention provides an image denoising method and an image denoising apparatus. The image denoising method includes performing preliminary denoising processing to an acquired image to be processed, so as to obtain a preliminarily denoised image; calculating a residual quantity corresponding to a central pixel of each unit area in the image to be processed according to numerical values of specific energy parameters to which the image to be processed and the preliminarily denoised image correspond, respectively; and using the residual quantity to calculate a weight matrix corresponding to each unit area, and performing non-local mean value calculation to the image to be processed according to the weight matrix, so as to realize the denoising processing of the image to be processed. The image denoising method is able to denoise effectively, and make a denoised image more visually natural.

Abstract: An apparatus for image contrast enhancement and a method, electronic equipment that includes: a dividing unit configured to divide an input image into at least two layers; and detail degrees of the at least two layers are different; an enhancing unit configured to perform contrast enhancement on each of the at least two layers respectively; and degrees of enhancing contrasts of the layers are different; and a combining unit configured to combine the contrast-enhanced at least two layers. By dividing the input image into at least two layers with different detail degrees and performing contrast enhancement on the at least two layers at different degrees, the contrast of the image may be accurately and effectively enhanced, thereby a display effect of the image may be improved.

Abstract: An exposure enhancement method and apparatus for a defogged image. The exposure enhancement method includes: constructing an exposure enhancement function in accordance with a defogging parameter; performing exposure enhancement on a defogged image by using the constructed exposure enhancement function. The method and apparatus can adaptively process the defogged image according to the defogging parameter and can process pixels in the defogged image in parallel.

Abstract: Disclosed is a compression conveying mechanism for bagged spring production. The mechanism comprises a machine frame (10), a spring conveying mechanism (20), and a spring compression conveying mechanism (30). The spring compression conveying mechanism (30) comprises two baffles (31) disposed on the machine frame and conveying belts (32) wound on the outsides of the baffles (31), and the distance between the two baffles (31) is gradually decreased from one end to the other end. The spring conveying mechanism (20) conveys a spring to a position between the two baffles (31) and drives the spring to move so that the spring can be moved from the end where the distance between the two baffles (31) is large to the other end where the distance between the two baffles (31) is small.

Abstract: The present invention provides an image denoising method and an image denoising apparatus. The image denoising method includes performing preliminary denoising processing to an acquired image to be processed, so as to obtain a preliminarily denoised image; calculating a residual quantity corresponding to a central pixel of each unit area in the image to be processed according to numerical values of specific energy parameters to which the image to be processed and the preliminarily denoised image correspond, respectively; and using the residual quantity to calculate a weight matrix corresponding to each unit area, and performing non-local mean value calculation to the image to be processed according to the weight matrix, so as to realize the denoising processing of the image to be processed. The image denoising method is able to denoise effectively, and make a denoised image more visually natural.

Abstract: A method and system for approximating a curve, and a graphic display control method and apparatus are disclosed. The method for approximating a curve comprises the steps of acquiring number information of subdividing points for subdividing a curve needed to be approximated based on coordinate information of control points of the curve, acquiring coordinate information of the subdividing points based on the number information of the subdividing points and the coordinate information of the control points, and connecting the subdividing points with straight lines based on the coordinate information of the subdividing points. The invention could achieve efficient curve approximation and in turn achieve efficient graphic-display control.

Abstract: An exposure enhancement method and apparatus for a defogged image. The exposure enhancement method includes: constructing an exposure enhancement function in accordance with a defogging parameter; performing exposure enhancement on a defogged image by using the constructed exposure enhancement function. The method and apparatus can adaptively process the defogged image according to the defogging parameter and can process pixels in the defogged image in parallel.

Abstract: Method and apparatus for hand gesture trajectory recognition. The method includes: pre-defining sixteen hand gesture trajectory models, and classifying the sixteen hand gesture trajectory models into three types of hand gesture trajectory models; judging an input hand gesture trajectory belongs to which type of the three types of hand gesture trajectory models; and recognizing input hand gesture trajectories that belong to different types of hand gesture trajectory models with different methods.

Abstract: A method and system for approximating a curve, and a graphic display control method and apparatus are disclosed. The method for approximating a curve comprises the steps of acquiring number information of subdividing points for subdividing a curve needed to be approximated based on coordinate information of control points of the curve, acquiring coordinate information of the subdividing points based on the number information of the subdividing points and the coordinate information of the control points, and connecting the subdividing points with straight lines based on the coordinate information of the subdividing points. The invention could achieve efficient curve approximation and in turn achieve efficient graphic-display control.