Spreadtrum Communications (shanghai) Co., Ltd.

Spreadtrum Communications Corporation

Fuhuei Lin

Bin Jiang

Sheng Wu

Jingming Xu

Xiaowei Luo

Xiaofeng Peng

Minjie Chen

Ye Yuan

Wei Ji

Heyun Huang

Hu Wei

Yuchun Huang

Benhao Zhang

Sen Wang

Jiali Shen

Yaqin Yong

Jian Ding

Yuan Chen

Hong Qing Zhou

Le Od Zhang

Jing Hu

Tan Li

Haijun Niu

Duan Xue

Xiaoguang Feng

Qingqing Zhao

Guangyao Li

A method for optimizing HDR video display processing, comprises: acquiring original video stream data; decoding the original video stream data to obtain metadata and image frame data of each image frame; in an m-th iteration, for each image frame, according to a characteristic parameter of a target display panel and the metadata, performing HDR processing on the image frame data by using an HDR video display processing algorithm, to obtain the image frame data subjected to HDR processing and corresponds to the original video stream data in the m-th iteration; and according to a playing display detection result, on the target display panel, of the image frame data that has been subjected to HDR processing and is obtained in the m-th iteration, optimizing an algorithm used in an (m+1)th iteration until the optimization of the HDR video display processing algorithm is completed.

Method and apparatus for optimizing HDR video display processing, and storage medium and terminal

A tetrahedral interpolation calculation method and apparatus, a gamut conversion method and apparatus, and a medium are provided, the tetrahedral interpolation calculation method comprising: obtaining coordinates of an interpolation point in a sampling space, a side length of a cube formed of nearby eight sampling points surrounding the interpolation point in the sampling space, and mapping values of four vertices of a tetrahedron surrounding the interpolation point, wherein the four vertices are four out of the eight sampling points; calculating a volume of the tetrahedron, and volumes of four sub-tetrahedrons formed of the interpolation point and arbitrary three vertices in the tetrahedron, based on coordinates of the interpolation point in the sampling space, and the side length of the cube formed of nearby eight sampling points surrounding the interpolation point in the sampling space; and obtaining an interpolation value of the interpolation point, based on a tetrahedral interpolation theorem formula, the volume of the tetrahedron, volumes of four sub-tetrahedrons, and mapping values of the four vertices of the tetrahedron.

Tetrahedral interpolation calculation method and apparatus, gamut conversion method and apparatus, and medium

Method and apparatus for de-interlacing a television signal are provided. The method includes: determining whether a pixel to be interpolated is in a strictly static mode; if it is in the strictly static mode, obtaining a pixel value of a first pixel in a previous field which corresponds to the pixel to be interpolated, and setting a pixel value of the pixel to be interpolated to be equal to the pixel value of the first pixel; if it is not in the strictly static mode, determining gradient bands along a plurality of directions by taking the pixel to be interpolated as a center, determining a direction of the pixel to be interpolated based on the gradient bands, and setting the pixel value of the pixel to be interpolated by interpolation based on the direction. Accuracy of the pixel value of the pixel to be interpolated may be improved.

Method and apparatus for de-interlacing television signal

Method and apparatus for reducing distortion echo are provided. K-path amplification and pre-distortion process are performed to the downlink reference signal to obtain K-path pre-distorted signals. Afterwards, filtering is performed using the self-adaptive filters which correspond to the downlink reference signal x(t) and the K-path pre-distorted signals to obtain the filtering signals. Error signals are obtained by calculating differences between the target signal and each of the filtering signals. The minimum-value fusion process is performed to the error signals to obtain the residual signal which is then output as the final self-adaptive echo cancellation. In embodiments of the present disclosure, the residual signal is relatively small as the minimum-value fusion process is performed to the error signals. That is to say, echo loss is relatively great. Therefore, the method may provide echo loss with high amplitude under a situation that a speaker has relatively serious distortion.

Method and apparatus for reducing distortion echo

A method of switching between noise reduction modes in multi-microphone mobile devices may include receiving a first sound signal at a first sound receiver and receiving a second sound signal at a second sound receiver. The method may also include determining a first power value associated with the first sound signal and determining a second power value associated with the second sound signal. The method may additionally include comparing the first power value to the second power value and switching between a single-microphone noise reduction mode and a dual-microphone noise reduction mode based on the comparison.

Detecting and switching between noise reduction modes in multi-microphone mobile devices

The embodiments of the present disclosure provide a method and an apparatus for reducing an echo, which apply a first stage adaptive filter to a downlink reference signal to obtain a first stage filtered signal and a first error signal; after performing a K-path gain process and a K-path pre-distortion process to the downlink reference signal, apply the at least one second stage adaptive filter to a K-path pre-distorted signal to obtain a second stage filtered signal and a second error signal; and perform a minimum value fusion process to the first error signal and the second error signal so as to obtain a residue signal, which is considered as a final output of adaptive echo cancellation. Accordingly, the present disclosure realizes steadily providing a relatively high echo loss under a circumstance that a speaker suffers a relatively great distortion.

Method and apparatus for reducing echo

Embodiments of the present invention relate to adaptive audio capturing. A method for adaptive audio capturing is disclosed. The method comprising obtaining an audio signal through an audio channel associated with an audio capturing element on a user terminal; calculating a signal amplitude for the audio channel by processing the obtained audio signal; and determining a functionality of the audio capturing element based on the signal amplitude and a further signal amplitude for at least one further audio channel associated with at least one further audio capturing element on the user terminal. Corresponding apparatus, computer program product, and user terminal are also disclosed.

Adaptive audio capturing

Shrinkage function model associated training schemes are used to facilitate obtaining denoised patches, and more particularly, to removing noise from images.

Methods and systems for denoising images

Systems and methods for signal noise reduction. An input digital signal may be partitioned into a series of adjacent segments. The adjacent segments may be converted to a frequency domain representation. A particular spectral component of a particular segment may be compared to a related spectral component of a first segment adjacent the particular segment, and to a related spectral component of a second segment adjacent the particular segment. The particular spectral component may be modified upon a magnitude value of the particular spectral component satisfying at least one of a predetermined set of conditions.

Signal noise reduction

A method for processing an image in Bayer format is provided. The method may include: performing a binning process in a horizontal and/or vertical direction on an image which is to be processed, so that an arrangement mode of pixels in a processed image after binning is the same with that in the image to be processed, wherein the binning process may include: determining a position of an output pixel; selecting, from the image to be processed, a plurality of pixels which have the same color component with that of the output pixel, and calculating a weighted average of the plurality of pixels, so as to obtain a pixel value of the output pixel, wherein the plurality of pixels are selected from particular positions, so that the weighted average of the plurality of pixels can be calculated. According to the present disclosure, quality of image processing can be guaranteed.

Method and device for processing image in Bayer format

A method of dithering of an image is described. The method includes analyzing each of a plurality of pixels of the image, wherein each pixel of the plurality of pixels exhibits integer value N-bit color depth and determining a particular index value of each pixel of the image, a particular numerical value associated with a particular color component of each pixel of the image, and a particular threshold value associated with the particular color component of each pixel of the image. The particular threshold value is common between pixels of the image separated by a predetermined number of pixels. The method further includes modifying, based on the determining, each of the plurality of pixels of the image to exhibit integer value M-bit color depth, wherein integer value M is less than integer value N.

Method and system for image dithering

A video anti-shaking method and a video anti-shaking device are provided. The method includes: obtaining a first GRMV (global relative motion vector) of a current video frame relative to its previous video frame, and a sequence of second GRMVs of reference video frames relative to their respective previous video frames; calculating a sequence of third GRMVs of the reference video frames relative to the current video frame, respectively, based on the first GRMV and the sequence of second GRMVs; and filtering the sequence of third GRMVs to obtain a motion vector for compensating shaking of the current video frame. Camera shaking and intended motion can be distinguished.

Video anti-shaking method and video anti-shaking device

The present disclosure discloses a method and an apparatus for measuring response curve of an image sensor. The method comprises: taking at least one photograph of a Grey Scale card with an image sensor to be measured, wherein the photograph comprises a plurality of greyscale image blocks; calculating relative exposure values for each greyscale image block respectively corresponding to the greyscale blocks of the Grey Scale card; plotting a plurality of reference points based on pixel values of pixel points within each greyscale image block and the relative exposure values, and executing an interpolation calculation based on the reference points to obtain a response curve of the image sensor.

Method and apparatus for measuring response curve of an image sensor

An audio encoding method and a corresponding decoding method are provided. Accordingly, the pre-echo effect of the audio transient signal is eliminated and the distortion of the transient signal is mitigated. The technical solution includes performing time-domain processing on an input audio transient signal; dividing sampling points x,x, . . . , xof an input frame into L segments; calculating an energy Efor each segment; calculating an average energy Efor each segment of the input frame; calculating a multiplying parameter &#x3bb;corresponding to each segment by virtue of &#x3bb;=r(bitrate)*E/E; multiplying the sampling points of all the segments of the input frame by corresponding multiplying parameter &#x3bb;, obtaining the processed sampling points x',x&#x2032;, . . . , x&#x2032;; and sending the multiplying parameter &#x3bb;to a code stream for transportation; performing time-frequency transformation and coding on the processed sampling points x&#x2032;,x&#x2032;, . . . , x&#x2032; and outputting to the code stream.

Audio encoding/decoding for reducing pre-echo of a transient as a function of bit rate

A method for post-processing of speech signals includes using a pitch correction filter, a pitch weight parameter adjustor, and a first pitch enhancement filter to process the input signal into a first output signal; summing both the input signal and the first output signal as a second output signal; and using a second pitch enhancement filter to process the second output signal. Furthermore, another method for post-processing of speech signals includes using a second pitch enhancement filter to process the input signal into a second output signal; using a pitch correction filter, a pitch weight parameter adjustor, and a first pitch enhancement filter to process the second output signal into a first output signal; and summing both the second output signal and the first output signal as a final output signal. The two methods can simultaneously realize pitch emphasis and enhancement with low computation complexity.

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Shanghai, China

Fuhuei Lin