A receiver applies a calibration method to compensate for skew between input channels. The receiver skew is estimated by observing the coefficients of an adaptive equalizer which adjusts the coefficients based on time-varying properties of the multi-channel input signal. The receiver skew is compensated by programming the phase of the sampling clocks for the different channels. Furthermore, during real-time operation of the receiver, channel diagnostics is performed to automatically estimate differential group delay and/or other channel characteristics based on the equalizer coefficients using a frequency averaging or polarization averaging approach. Framer information can furthermore be utilized to estimate differential group delay that is an integer multiple of the symbol rate. Additionally, a DSP reset may be performed when substantial signal degradation is detected based on the channel diagnostics information.

An image processing method and apparatus, and a non-transitory computer-readable storage medium are provided. The method includes: acquiring an exposure duration and at least one motion component corresponding to at least one direction within the exposure duration of a current video frame; performing a first noise reduction operation on the current video frame in a two-dimensional space domain in response to a first motion component of the at least one motion component being greater than a preset motion component threshold; and performing a second noise reduction operation on the current video frame in a three-dimensional space domain in response to the at least one motion component being less than the preset motion component threshold.

An optical characteristic measurement method according to embodiments may comprise the steps of: generating multi-view images, the multi-view images including a left image, a central image, and a right image; displaying the position of a virtual image for the multi-view images; calculating the depth of the position of the virtual image; estimating the depth of the virtual image; matching the depth of the position to the depth of the virtual image; and calibrating errors between the multi-view images on the basis of the matched depth. Additionally, the optical characteristic measurement method may comprise the steps of: generating multi-view images, the multi-view images including a left image, a central image, and a right image; displaying the positions of virtual images for the multi-view images; estimating the depths of the positions of the virtual images; grouping the positions on the basis of the depths; selecting some positions from the grouped positions; and projecting a corrected virtual object on the basis of the selected positions and the depths.