Method and apparatus for motion blur and ghosting prevention in imaging system
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A technology of motion blur and imaging system, applied in parts of TV system, image communication, color TV parts, etc., can solve problems such as blur, and achieve the effect of wide illuminance range and low complexity
Inactive Publication Date: 2011-05-25
PANASONIC CORP
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It can cause blurring and ghosting artifacts in the output image
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Embodiment approach 1
[0042] refer to Figure 2A , shows a block diagram of the imaging device (200) according to the first embodiment of the present invention. The imaging device (200) includes an optical system (202), an image sensor (204), an analog-to-digital converter (206), an image processor (220), a storage / transmission device (208) and a display (210). The image processor (220) includes: a memory device (212), an HDR processor (230) capable of preventing motion blur and ghosting, a white balance module (214), a tone mapping module (216), and a demosaic module (218). While other components such as user interfaces, microphones, speakers, etc. are not shown, this does not limit the scope and spirit of the invention.
[0043]The optical system (202) may include components such as lenses, shutters, apertures, zoom / focus mechanisms, and prisms for controlling light signals reaching the image sensor (204). The image sensor (204) converts the optical signal into an electrical signal, which is co...
Embodiment approach 2
[0097] According to the first embodiment, the method and apparatus in an imaging system requiring a plurality of input images with different exposures have been described in detail. In this embodiment, a method and an apparatus in an imaging system that requires a plurality of input images having the same exposure will be described.
[0098] refer to Figure 12A , shows a block diagram of the imaging device (1200) according to the second embodiment of the present invention. The imaging device (1200) includes: an optical system (1202), an image sensor (1204), an analog-to-digital converter (1206), an image processor (1220), a storage / transmission device (1208), and a display (1210). The image processor (1220) includes: a memory device (1212), an image fusion processor (1230) capable of preventing motion blur and ghosting, a white balance module (1214), a tone mapping module (1216), and a demosaic module (1218) . While other components such as user interfaces, microphones, sp...
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Abstract
A method and apparatus for motion blur and ghosting prevention in imaging system is presented. A residue image is computed by performing spatial-temporal filter with a set of absolute image difference of image pairs from input images. A noise adaptive pixel threshold is computed for every pixel based on noise statistics of image sensor. The residue image and the noise adaptive pixel threshold are used to create a motion masking map. The motion masking map is used to represent motion and non-motion pixels in pixels merging. The pixels merging step is performed to generate an output image by considering the motion pixels where the motion pixels are performed separately. The resulting output image having no or less motion blur and ghosting artifacts can be obtained, even the input images having different degree of motion blur between each of the image, while the complexity is low. It is preferred that the current invention is applied in the Bayer raw domain. The benefit is reduced computation and memory because only 1 color component is processed for each pixel. Another benefit is higher signal fidelity because processing in the Bayer raw domain is unaffected by demosaicing artifacts, especially along edges. However, the current invention can also be applied in RGB domain.
Description
technical field [0001] The present invention relates to the processing of digital image data, and more particularly, to methods and devices for preventing motion blur and ghost in imaging systems. Background technique [0002] There are dynamic range and sensitivity limitations in image sensors. The sensitivity of an image sensor depends on the level of light it can detect. In dim scenes, the image captured by the image sensor appears dark and noise-like. This is known as a sensitivity limit. The dynamic range of an image sensor is limited by its noise floor and full-well capacity. In most cases, the dynamic range of the image sensor is lower than that present in the scene to be captured. As a result, areas of the captured image with low light intensity appear dark and noise-like, while areas with high light intensity appear saturated, on the other hand. One technique used to overcome these problems is to capture multiple images of the same scene and then fuse the captu...
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