Abstract: 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 x1,x2, . . . , xN of an input frame into L segments; calculating an energy Ei for each segment; calculating an average energy E0 for each segment of the input frame; calculating a multiplying parameter ?i corresponding to each segment by virtue of ?i=r(bitrate)*E0/Ei; multiplying the sampling points of all the segments of the input frame by corresponding multiplying parameter ?i, obtaining the processed sampling points x1?,x2?, . . . , xN?; and sending the multiplying parameter ?i to a code stream for transportation; performing time-frequency transformation and coding on the processed sampling points x1?,x2?, . . . , xN? and outputting to the code stream.

Abstract: A method and an apparatus for image denoising based on medium filter is disclosed according to the present invention. Such method and apparatus may be used to remove linear noise and random noise for the sensor, as well as the bad points in the sensor image, and to prevent over-denoising. The technical solutions includes selecting three groups of pixels from neighboring pixels of a current pixel, calculating medians ?1, ?2 and ?3 for the pixels in each group; calculating a reference luminance Y: Y=?2+[?1+?3?2*?2]*h*[1?k*var], where var=?3??1; determining whether the current pixel (cur_pixel) is a bad pixel; letting a temporary variable (tmp_data) be ?1 if the current pixel is a bad pixel; letting a temporary variable (tmp_data) be the current pixel value (cur_pixel) if the current pixel is not a bad pixel; determining whether the current pixel is located on an edge.

Abstract: An audio encoding method and a corresponding decoding method are provided according to the present invention. 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 x1, x2, . . .

Abstract: A method and an apparatus for image denoising based on medium filter is disclosed according to the present invention. Such method and apparatus may be used to remove linear noise and random noise for the sensor, as well as the bad points in the sensor image, and to prevent over-denoising. The technical solutions includes selecting three groups of pixels from neighboring pixels of a current pixel, calculating medians ?1, ?2 and ?3 for the pixels in each group; calculating a reference luminance Y: Y=?2+[(?1+?3?2*?2]*h*[1?k*var], where var=?3??1; determining whether the current pixel (cur_pixel) is a bad pixel; letting a temporary variable (tmp_data) be ?1 if the current pixel is a bad pixel; letting a temporary variable (tmp_data) be the current pixel value (cur_pixel) if the current pixel is not a bad pixel; determining whether the current pixel is located on an edge.

Abstract: This invention provides a method of interpolating a color filter array (CFA), which combines the advantages of the interpolation method based on edge detection and the interpolation method which utilizes the original color of each CFA pixel as reference, in order to ensure that the edges of the output image are clear and there are no obvious color artifacts. The interpolation method in this invention is computationally efficient and appropriate for real-time applications, in that only a 5×5 linear interpolation template is calculated and applied for each pixel.