35results about How to "Avoid Noise Amplification" patented technology

A method for processing a sparsely populated color digital image having colored pixels to produce a fully populated and noise clean color image including noise cleaning the sparsely populated image using a variable noise cleaning kernel to provide a noise clean sparsely populated color digital image; and interpolating the noise clean sparsely populated image for producing color pixels with appropriate values missing from the sparsely populated color digital image by interpolating the color values for missing pixels from neighboring color pixels.

Image compression, decompression and motion detection methods are described. Two temporally adjacent frame images, a previous time frame and a current time frame, are compressed in round-off and averaging techniques. Next, according to the compressed data of two corresponding pixels of the two frame images, whether or not the pixel of the current time frame image is of a motion picture is detected. If the pixel is of a motion picture, the compressed pixel data of the previous time frame image is decompressed, and an overdrive process is performed on the decompressed pixel data and the original pixel data of the current time frame image to produce an overdrive output. If the pixel is not of a motion picture, an overdrive process is not performed.

The invention belongs to the technical field of image exposure, and relates to an automatic exposure control method. The automatic exposure control method comprises the steps of S1, carrying out imagecollected by using binocular vision and an active structural light source projection method, and obtaining the last image collected each time; S2, obtaining the average brightness of the image by using a dynamic partitioning and dynamic weight coefficient adjusting method; S3, judging whether the average brightness of the image is within a target brightness range or not, if so, not carrying out exposure compensation and terminating the automatic exposure control, otherwise, entering the step S4; and S4, obtaining the difference between the average brightness of the image and the target brightness, selecting the corresponding step size for exposure compensation according to the difference and returning back to the step S1. The automatic exposure control method soles the problems of great noise signal, insufficient or excessive exposure of a target area due to excessive contrast between the target object and the background, excessively long adjustment time and excessively great difference between the image brightness and the target brightness in the prior art.

A small detail restoration (SDR) system implements an SDR method for processing digital images, especially in DTV applications prior to image resampling process in a scaler unit. The SDR system performs three image processing functions: detail extraction, smoothness checking, and small detail detection on an input image. The results of the three processing functions are combined, amplified and added back to original image to obtain the final resulting output image. The SDR method is applied in the texture or small detail area of image while the strong edge area is not enhanced. For example, in DTV applications, the SDR method is suitable for enhancing the digital image prior to image resampling process in the scaler unit.

The invention discloses a speech signal self-adaptive adjusting method, a speech signal self-adaptive adjusting device, a mobile terminal and a storage medium. The speech signal self-adaptive adjusting method comprises the steps of acquiring a speech signal in an environment in real time when the mobile terminal is in a hands-free calling mode, acquiring a distance between the mobile terminal and a caller in real time, analyzing the speech signal, acquiring vocal print features of sounds from different sources in the speech signal, identifying a target vocal print feature belonging to the caller, determining a speech amplitude value of the sound to which the target vocal print feature belongs in the speech signal, and adjusting a loudness degree and a frequency degree of the sound to which the target vocal print feature belongs according to the speech amplitude value and the distance. Through identifying the target vocal print feature of the caller in the speech signal, the sound of the caller can be adjusted according to the speech amplitude value of the sound to which the target vocal print feature belongs and the distance between the mobile terminal and the caller, thereby being capable of effectively avoiding the problem of amplifying environment noise, improving calling quality and improving use experience.

An embodiment of the invention provides a self-adaptive adjustment method and device for earphone calls, a mobile terminal and a storage medium. The method comprises the steps as follows: when the mobile terminal is in an earphone call mode, a voice signal in the environment is acquired and analyzed, a target voiceprint feature is obtained through matching from analyzed voiceprint features by the aid of a preset voiceprint feature recognition library, the voice amplitude of the voice with the target voiceprint feature in the voice signal is determined, and the loudness value and the frequency value of the voice with the target voiceprint feature in the voice signal are adjusted according to the voice amplitude. Compared with an AGC (automatic gain control) self-adaptive gain adjustment method, the self-adaptive adjustment method has the advantages that the problem of ambient noise amplification can be solved effectively and the call quality can be improved while the call volume is increased.

A composite video signal has a chrominance signal (14) and a luminance signal (10). A method and apparatus are disclosed for adjusting the chrominance signal (14) to obtain an enhanced chrominance signal (15) in which at least some transitions in the enhanced chrominance signal (15) align more closely with edges in the luminance signal (10) than transitions in the original chrominance signal (14) align with edges in the luminance signal (10). An edge in the luminance signal (10) of the composite video signal is detected (11). The position of the edge relative to a current pixel is detected (11). The chrominance of the current pixel is adjusted (13) in accordance with at least the position of said current pixel relative to the edge to obtain an enhanced chrominance signal (15).

The invention belongs to the technical field of image exposure, and relates to a projection method based on automatic exposure control and an automatic switching projection pattern. The method comprises the following steps: S1: performing image collection and performing three-dimensional imaging; S2: acquiring the last image of each collection, and acquiring average brightness of the image; S3: judging whether the average brightness of the image is within a target brightness range; S4: acquiring a difference value between the average brightness of the image and the target brightness, and performing exposure compensation; S5: performing three-dimensional imaging quality evaluation; S6: judging whether a coding pattern is switched; and S7: selecting a group of patterns with the highest evaluation of three-dimensional imaging quality for projection. By adoption of the projection method disclosed by the invention, the following problems in the prior art are solved: the noise signal is large, it is difficult to maintain stable high-quality imaging, when the contrast between a target object and the background is too large, a target area is underexposed or overexposed, the adjustment timeis too long, and the difference value between the image brightness and the target brightness is too large.

The invention belongs to the technical field of automatic control, and particularly relates to an integral separated PID control method, which comprises a tracking differentiator TD1 for arranging a transition process of an input error, a PID controller using an integral separation algorithm and a feedback loop filter TD2, wherein an error tracking signal and an error differential signal of the input error signal are obtained through the tracking differentiator TD1; the integral link adopts a new integral separation algorithm, which can reasonably change the integral gain coefficient accordingto the error and the separation threshold value; the integral link constitutes an integral separated PID controller together with a proportional link and a differential link; the integral separated PID controller outputs a controlled quantity signal acting on a controlled object; the tracking differentiator TD2 is added to the feedback loop as a feedback loop filter for filtering the measurementnoise of the output signal. The integral separated PID control method in the invention can improve the response speed of the control system, reduce the overshoot amount, and reduce the adverse effectsof integral feedback.

A restoration filter generation device which generates a restoration filter for performing a restoration process on luminance system image data, the restoration process being based on a point-image distribution in an optical system, the luminance system image data being image data relevant to luminance and being generated based on image data for each color of multiple colors, the restoration filter generation device including an MTF acquisition device which acquires a modulation transfer function MTF for the optical system; and a restoration filter generation device which generates the restoration filter based on the modulation transfer function MTF, the restoration filter suppressing an MTF value of image data for each color of the multiple colors to 1.0 or less at least in a region of a particular spatial frequency or less, the image data for each color of the multiple colors corresponding to the luminance system image data after the restoration process.

The invention provides a deep abnormal body boundary recognition and step-by-step enhancement method and system, a medium and equipment. According to magnetic field three-component data and magnetic gradient tensor data of an object to be recognized, reverse tangent operation is performed to obtain a preliminary recognition result of a deep abnormal body boundary; by utilizing magnetic gradient tensor data components and a boundary recognition method improved by the reverse tangent operation, the deformation of the deep abnormal body boundary is inhibited; and by utilizing an idea of gamma conversion in image processing, parameter adjustable image enhancement is performed according to enhancement shadow area contrast or high-brightness area contrast of different value selectivity, a targetbody boundary is further highlighted, and a final recognition result is obtained.

The invention relates to an image enhancement method based on controlled diffusion. Firstly, Gamma transform is applied to enhance the fundus image to a proper gray level. Secondly, the self-similarity filter is used to denoise the transformed image, especially the region of interest which needs to be extracted from the image. Finally, the proposed controllable diffusion equation method is used tofurther sharpen the image, so that the artifacts caused by over-enhancement can be avoided while the important details are highlighted.

The invention discloses a power grid side harmonic current suppression method for a non-electrolytic capacitor compressor controller, and belongs to the field of variable frequency air conditioner driving. According to the method, a power grid side voltage and a direct-current bus voltage serve as input quantities, a differential component of a power grid current is indirectly obtained, and a current compensation quantity is obtained through a feed-forward compensation module to compensate a q-axis current of a compressor. The feed-forward compensation module comprises a discretization unit, a linear adjustment unit and an amplitude limiting unit. Aiming at the large fluctuation change of the q-axis current reference value after the compensation is applied, an anti-saturation integral estimation regulator is adopted to effectively control the q-axis current, so that the power grid side input current is indirectly controlled. The method provided by the invention does not need to additionally collect power grid current, is easy to engineering realization, and can effectively improve power grid current distortion and suppress high-frequency harmonic current, so that the current meets the harmonic standard.