Suzhou Keda Technology Co., Ltd.

Other

Suzhou Keyuan Software Technology Co., Ltd.

Suzhou Keda Special Video Co., Ltd.

Lijun Cao

Yong Zhang

Guoqing Meng

Fengfeng Tang

Weidong Chen

Hongjie Pu

Sainan Zhu

Renxiang Yan

Jiayang Song

Provided is a voice signal processing method. The method comprises the following steps: acquiring a status coefficient, a target voice signal to be processed, and a derivative signal of the target voice signal (S); using the derivative signal to respectively calculate an initial echo loss corresponding to each signal frame in the target voice signal, then using the status coefficient to adjust the initial echo loss to acquire a target echo loss (S); using the derivative signal to calculate a proximal-distal coherence value of the target voice signal (S); judging whether the target echo loss matches with a single-talk echo state (S); if so, recording the proximal-distal coherence value in the status statistical data, and updating statistical information (S); and using the statistical information to update the status coefficient, and performing volume control on the target voice signal after the status coefficient is updated (S). The method ensures better sound quality, and further improves user experience. Also provided are a voice signal processing device, an apparatus, and a readable storage medium, having corresponding technical effects.

Voice signal processing method and device, apparatus, and readable storage medium

The present disclosure provides a method for generating a high dynamic range image from a low dynamic range image, including performing grey-level adjustment on a low dynamic range image to be processed in accordance with a preset mapping relationship to obtain an image after the grey-level adjustment, the grey-level adjustment includes inverse-gamma correction and grey-level value increase; selecting a plurality of saturation areas in the image after the grey-level adjustment; performing grey-level enhancement of the saturation areas in the image after the grey-level adjustment, to obtain a target high dynamic range image; and outputting the target high dynamic range image.

Method for generating high dynamic range image from low dynamic range image

The present application provides an image enhancement method and system, the method includes acquiring an input brightness value, and computing a log average value of the input brightness value; processing the input image based on a Retinex image enhancement algorithm to obtain a first brightness gain value; computing a brightness gain control factor according to the log average value of the input brightness value; computing a second brightness gain value according to the brightness gain control factor and the first brightness gain value; and obtaining an output image by enhancing the input image according to the second brightness gain value. The present application uses a Retinex image enhancement algorithm to enhance the input image, and by using the brightness gain control factor, when the image has low brightness, the first brightness gain value is compressed, and when the image has high brightness, the first brightness gain value is compressed slightly.

Image enhancement method and system

An automatic focusing method and apparatus comprise the following steps: acquiring a target image that has been divided into blocks; acquiring the definition of each block, respectively; acquiring normalized central coordinates and a normalized size of a region of interest on the target image; respectively calculating a full width at half maximum coefficient in the horizontal direction and the vertical direction according to the normalized size; calculating a weight value of each block using a two-dimensional discrete Gaussian function according to the normalized central coordinates and the full width at half maximum coefficient; calculating a normalized overall definition of the target image according to the weight value and definition of each block; and focusing according to the normalized overall definition. The method and apparatus can automatically calculate a mask of the region of interest, thereby avoiding the occupying of storage space required when storing ROI mask data.

Automatic focusing method and apparatus based on region of interest

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Jiangsu, China

Lijun Cao