There is provided an image processing apparatus. An estimation unit estimates a color difference component of noise included in a captured image that has undergone white balance correction. A determination unit determines a strength of color suppression processing based on a size of the color difference component of the noise. A processing unit applies the color suppression processing to the captured image at the determined strength.

An image capturing device includes an image capturing section that captures first video data having a frame cycle of a first frame cycle and an exposure time for one frame shorter than the first frame cycle, an image acquisition section that acquires the first video data captured by the image capturing section, a detection section that detects a flicker of a light source in the first video data, and an image capturing frame cycle control section that controls the frame cycle of the image capturing in the image capturing section. The image capturing frame cycle control section changes the frame cycle of the first video data captured by the image capturing section from the first frame cycle to a second frame cycle, which is a frame cycle shorter than the first frame cycle, in a case where the detection section detects the flicker.

A method for filtering noise of lens operation is applicable to a controller being communicably connected with a video recorder. The method includes: sending, by the controller, a recording instruction configured to control the video recorder to perform a video recording and an audio recording; sending, by the controller, a lens operation instruction configured to control a lens of the video recorder to perform an operation; reading, by the controller, an inverted noise signal associated with the operation receiving, by the controller, an audio recording signal generated by the video recorder when the video recorder performs the operation; and synthesizing, by the controller, the audio recording signal and the inverted noise signal to output a synthesized audio signal.

An image capturing device includes an image capturing section that captures first video data having a frame cycle of a first frame cycle and an exposure time for one frame shorter than the first frame cycle, an image acquisition section that acquires the first video data captured by the image capturing section, a detection section that detects a flicker of a light source in the first video data, and an image capturing frame cycle control section that controls the frame cycle of the image capturing in the image capturing section. The image capturing frame cycle control section changes the frame cycle of the first video data captured by the image capturing section from the first frame cycle to a second frame cycle, which is a frame cycle shorter than the first frame cycle, in a case where the detection section detects the flicker.

Provided is an operation method of an image signal processor (ISP) configured to perform signal processing on a raw image received from an image device, the operation method including generating a plurality of multi-scale images based on an input image, the plurality of multi-scale images having resolutions that are different from each other, iteratively performing a fast global weighted least squares (FGWLS) based operation on each of the plurality of multi-scale images to generate a final illuminance map, and outputting an enhanced image based on the final illuminance map and the input image.

The invention provides a light source module and a projection device. The projection device includes the light source module, an optical engine module, a heat dissipation module, and a projection lens. The light source module includes a light emitting unit, a carrier, and a noise reduction unit. The light emitting unit is configured for providing a lighting beam. The carrier is configured for fixing the light emitting unit and has an opening, and the light source of the light emitting unit is aligned with the opening. The noise reduction unit is configured to surround at least a part of the light emitting unit. The optical engine module includes a light valve located on a transmission path of the lighting beam and is configured for converting the lighting beam into an image beam. The light source module is located between the optical engine module and the heat dissipation module.

Blind legacy video artifact reduction reduces ghost artifacts and Y/C artifacts. Ghost artifacts are reduced using edge correlation and an IIR filter. Y/C artifacts are reduced using frequency domain filtering. The result is much cleaner video content.

The present disclosure relates to methods and devices for facilitating enhancing the quality of video. An example method disclosed herein includes estimating an optical flow between a first noisy frame and a second noisy frame, the second noisy frame following the first noisy frame. The example method also includes warping a first enhanced frame to align with the second noisy frame, the warping being based on the estimation of the optical flow between the first noisy frame and the second noisy frame, the first enhanced frame being an enhanced frame of the first noisy frame. The example method also includes generating a second enhanced frame based on the warped first enhanced frame and the second noisy frame, and outputting the second enhanced frame.

There is provided an image processing apparatus. An estimation unit estimates a color difference component of noise included in a captured image that has undergone white balance correction. A determination unit determines a strength of color suppression processing based on a size of the color difference component of the noise. A processing unit applies the color suppression processing to the captured image at the determined strength.

The present disclosure relates to methods and devices for facilitating enhancing the quality of video. An example method disclosed herein includes estimating an optical flow between a first noisy frame and a second noisy frame, the second noisy frame following the first noisy frame. The example method also includes warping a first enhanced frame to align with the second noisy frame, the warping being based on the estimation of the optical flow between the first noisy frame and the second noisy frame, the first enhanced frame being an enhanced frame of the first noisy frame. The example method also includes generating a second enhanced frame based on the warped first enhanced frame and the second noisy frame, and outputting the second enhanced frame.