Abstract: A time-of-flight distance measuring system includes: intermittently transmitting a plurality of first pulses, wherein the plurality of first pulses are reflected by a target to generate a plurality of first reflected signals; using a TOF sensor to selectively perform a first signal sampling or a second signal sampling upon the plurality of first reflected signals respectively to generate a first sampling result, wherein there is a first time difference between a starting time point of the first signal sampling and a transmitting time point of the corresponding first pulse, and the first signal sampling lasts for a first predetermined time, and there is a second time difference between a starting time point of the second signal sampling and a transmitting time point of the corresponding first pulse, and the second signal sampling lasts for second predetermined time, and the first time difference is smaller than the second time difference.

Abstract: Disclosed herein are a time-of-flight (TOF) distance measuring method and a TOF distance measuring system, configured to measure a distance to a target. The TOF distance measuring method includes the following steps: sensing, by an optical sensor, a reflected light signal reflected by the target and obtaining a phase shift between the reflected light signal and an incident light signal, wherein the phase shift is smaller than 2?; obtaining a plurality pieces of first depth information according to the phase shift, wherein the plurality pieces of first depth information are a plurality pieces of depth information with phase mixing; obtaining, by a processing unit, a disparity of the reflected light signal corresponding to the incident light signal using epipolar geometry; obtaining a second depth information according to the disparity; and obtaining the distance from the plurality pieces of first depth information according to the second depth information.

Abstract: A time-of-flight distance measuring method and TOF distance measuring system. The distance measuring method includes: intermittently transmitting a plurality of pulses from a pulse generation unit; controlling a TOF sensor to allow each pixel of a plurality of pixels in the TOF sensor to continuously perform a first signal sampling first proportion for a first predetermined time on a first proportion of a plurality of reflected signals and performs a second signal sampling second proportion for a second predetermined time on a second proportion of a plurality of reflected signals, so as to generate a plurality of sampling results corresponding to the plurality of pixels; obtaining a plurality of depth information and a plurality of luminance information corresponding to the plurality of pixels according to the plurality of sampling results; and adjusting the first proportion and the second proportion according to the plurality of depth information and the plurality of luminance information.

Abstract: A background subtraction method includes: obtaining a first background image corresponding to a first object, wherein the first object has a first reflectivity; obtaining a second background image corresponding to a second object, wherein the second object has a second reflectivity, and the first reflectivity is different from the second reflectivity; calculating a plurality of relative values of the first background image relative to the second background image so as to obtain a mask image; obtaining a target image; subtracting the second background image from the target image so as to obtain a first background-removed image; and calculating and outputting a second background-removed image according to the first background image, the second background image, the first background-removed image and the mask image.

Abstract: A 3D image sensing system includes: a 3D image sensor (100), including: a light-emitting module (102), configured to emit a structured light to a target (300), the structured light has a known pattern; and a light-sensing module (104) receives a reflected structured light of the structured light that is reflected by the target; and a processor (110), configured to perform a time-of-flight distance measurement to obtain a first distance corresponding to the target based on time-of-flights of the structured light and the reflected structured light, the first distance has a global offset, the processor (110) establishes an unknown distance image based on the reflected structured light, estimates a disparity between the unknown distance image and a known distance image according to the known pattern, calculates a global compensation coefficient based on the disparity, and compensates the first distance to eliminate the global offset according to the global compensation coefficient.

Abstract: The present application provides a fingerprint image processing method, applied in an optical fingerprint identification system of an electronic device. The electronic device comprises a display pixel array. The optical fingerprint identification system comprises an image sensing array. The image sensing array is disposed under the display pixel array. The fingerprint image processing method comprises obtaining a background image and obtaining at least an interfering frequency when the display panel is not pressed by a finger of a user; receiving a received image when the display panel is pressed by the finger of the user; performing a subtracting operation on the received image and the background image to obtain a difference image; and performing a filtering operation on the difference image at the at least an interfering frequency to obtain an operational result.

Abstract: A 3D image sensing system includes: a 3D image sensor (100), including: a light-emitting module (102), configured to emit a structured light to a target (300), the structured light has a known pattern; and a light-sensing module (104) receives a reflected structured light of the structured light that is reflected by the target; and a processor (110), configured to perform a time-of-flight distance measurement to obtain a first distance corresponding to the target based on time-of-flights of the structured light and the reflected structured light, the first distance has a global offset, the processor (110) establishes an unknown distance image based on the reflected structured light, estimates a disparity between the unknown distance image and a known distance image according to the known pattern, calculates a global compensation coefficient based on the disparity, and compensates the first distance to eliminate the global offset according to the global compensation coefficient.

Abstract: A fingerprint image enhancement method, comprising: receiving a fingerprint image; computing a horizontal variation image and a vertical variation image of the fingerprint image (300); computing a weighted image, wherein a weighted value of a first pixel corresponding to a finger ridge in the weighted image is greater than a weighted value of a second pixel corresponding to a finger valley (304); multiplying the horizontal variation image with the weighted image to generate a weighted horizontal variation image, and multiplying the vertical variation image with the weighted image to generate a weighted vertical variation image (306); computing a fingerprint orientation image according to the weighted horizontal variation image and the weighted vertical variation image (308); and performing fingerprint image enhancement on the fingerprint image according to the fingerprint orientation image (310).

Abstract: The present disclosure provides a vertical-cavity surface-emitting laser, structured light module, terminal comprising the structured light module, and method for projecting the structured light thereof. The structured light module includes a plurality of light sources and a single diffractive optical element (DOE); wherein the plurality of light sources simultaneously emit a plurality beams of invisible light to the single DOE, wherein the single DOE has a pseudo-random optical pattern groove, wherein the invisible light of each light source passes through the DOE and emits a beam of spectral encoded structured light, and the beam of structured light comprises a pattern corresponding to the pseudo-random optical pattern groove. The DOE projects an overall structured light that is formed by superimposing a plurality of beams of structured light, and there is an offset between patterns of different beams of structured light.

Abstract: The present disclosure provides a vertical-cavity surface-emitting laser, structured light module, terminal comprising the structured light module, and method for projecting the structured light thereof. The structured light module includes a plurality of light sources and a single diffractive optical element (DOE); wherein the plurality of light sources simultaneously emit a plurality beams of invisible light to the single DOE, wherein the single DOE has a pseudo-random optical pattern groove, wherein the invisible light of each light source passes through the DOE and emits a beam of spectral encoded structured light, and the beam of structured light comprises a pattern corresponding to the pseudo-random optical pattern groove. The DOE projects an overall structured light that is formed by superimposing a plurality of beams of structured light, and there is an offset between patterns of different beams of structured light.

Abstract: A fingerprint image enhancement method, comprising: receiving a fingerprint image; computing a horizontal variation image and a vertical variation image of the fingerprint image (300); computing a weighted image, wherein a weighted value of a first pixel corresponding to a finger ridge in the weighted image is greater than a weighted value of a second pixel corresponding to a finger valley (304); multiplying the horizontal variation image with the weighted image to generate a weighted horizontal variation image, and multiplying the vertical variation image with the weighted image to generate a weighted vertical variation image (306); computing a fingerprint orientation image according to the weighted horizontal variation image and the weighted vertical variation image (308); and performing fingerprint image enhancement on the fingerprint image according to the fingerprint orientation image (310).

Abstract: A background subtraction method includes: obtaining a first background image corresponding to a first object, wherein the first object has a first reflectivity; obtaining a second background image corresponding to a second object, wherein the second object has a second reflectivity, and the first reflectivity is different from the second reflectivity; calculating a plurality of relative values of the first background image relative to the second background image so as to obtain a mask image; obtaining a target image; subtracting the second background image from the target image so as to obtain a first background-removed image; and calculating and outputting a second background-removed image according to the first background image, the second background image, the first background-removed image and the mask image.

Abstract: The present application provides a fingerprint image processing method, applied in an optical fingerprint identification system of an electronic device. The electronic device comprises a display pixel array. The optical fingerprint identification system comprises an image sensing array. The image sensing array is disposed under the display pixel array. The fingerprint image processing method comprises obtaining a background image and obtaining at least an interfering frequency when the display panel is not pressed by a finger of a user; receiving a received image when the display panel is pressed by the finger of the user; performing a subtracting operation on the received image and the background image to obtain a difference image; and performing a filtering operation on the difference image at the at least an interfering frequency to obtain an operational result.

Abstract: A head mounted system includes a physiological signal sensor, a signal processing circuit, a memory, an application processor, and an eyeglass frame. The physiological signal sensor monitors a physiological state to output a physiological signal. The signal processing circuit determines whether the physiological state is abnormal according to the physiological signal. When it is not abnormal, the signal processing circuit controls the physiological signal sensor to monitor the physiological state at a first monitoring frequency. When it is abnormal, the signal processing circuit outputs a warning signal, and controls the physiological signal sensor to monitor the physiological state at a second monitoring frequency greater than the first monitoring frequency. The application processor receives the warning signal and stores physiological data corresponding to the physiological signal in the memory.

Abstract: A saturation compensation method is provided. The method includes the steps of: retrieving an input image; performing at least one first image process on the input image to generate a first image; calculating saturation corresponding to each pixel in the input image; and performing a saturation compensation process on the first image according to the input image and the saturation to generate an output image.

Abstract: An electronic eyeglass is disclosed. The electronic eyeglass includes a polarizing beam splitter (PBS) and an eyeglass frame. The eyeglass frame carries the PBS.

Abstract: A head mounted display system comprises a lens set, an image capturing unit and a processing circuit. The lens set comprises a first liquid crystal panel and a second liquid crystal panel. The first liquid crystal panel comprises first liquid crystal blocks, and the second liquid crystal panel comprises second liquid crystal blocks. The image capturing unit captures front image data having a first dynamic range. The processing circuit performs tone mapping according to the front image data to generate mapping image data having a second dynamic range smaller than the first dynamic range. The processing circuit calculates regulated values according to the mapping image data. A driving circuit drives the first liquid crystal blocks and the second liquid crystal blocks according to the regulated values, respectively.

Abstract: An exposure-control system and an associated exposure control method are provided. The exposure-control system includes: an image capturing unit configured to capture a long-exposure image and a short-exposure image with a first exposure value and a second exposure value, respectively; and a processor, configured to calculate histograms of the long-exposure image and the short-exposure image, and calculate an exposure ratio according to the calculated histograms, the first and second exposure values, wherein when the exposure ratio is smaller than a first threshold, the processor switches a current exposure mode to a low dynamic range mode. When the exposure ratio is larger than a second threshold, the processor switches the current exposure mode to a high dynamic range mode. When the exposure ratio is between the first threshold and the second threshold, the processor does not switch the current exposure mode.

Abstract: An exposure-control system and an associated exposure control method are provided. The exposure-control system includes: an image capturing unit configured to capture a long-exposure image and a short-exposure image with a first exposure value and a second exposure value, respectively; and a processor, configured to calculate histograms of the long-exposure image and the short-exposure image, and calculate an exposure ratio according to the calculated histograms, the first and second exposure values, wherein when the exposure ratio is smaller than a first threshold, the processor switches a current exposure mode to a low dynamic range mode. When the exposure ratio is larger than a second threshold, the processor switches the current exposure mode to a high dynamic range mode. When the exposure ratio is between the first threshold and the second threshold, the processor does not switch the current exposure mode.

Abstract: A white-balance method for use in a multi-exposure imaging system having an image capturing unit is provided. The method includes the steps of: utilizing the image capturing unit to simultaneously capture a first image and a second image of a scene with a first exposure value and a second exposure value, respectively, wherein the second exposure value is smaller than the first exposure value, and the first exposure value and the second exposure value have individual exposure time and exposure gain; performing light source detection on the second image to obtain light source information and a corresponding light source color ratio of the scene; and performing a color gain process on the first image according to the light source color ratio to generate an output image.