Abstract: The present disclosure describes a method for memory cell placement. The method can include placing a memory cell region in a layout area and placing a well pick-up region and a first power supply routing region along a first side of the memory cell region. The method also includes placing a second power supply routing region and a bitline jumper routing region along a second side of the memory cell region, where the second side is on an opposite side to that of the first side. The method further includes placing a device region along the second side of the memory cell region, where the bitline jumper routing region is between the second power supply routing region and the device region.

Abstract: An image sensing device and a control device of an illumination device thereof are provided. The control device includes a control circuit, an operation circuit, and multiple driving signal generators. The control circuit generates multiple control signals. The operation circuit performs a logical operation on the control signals and an image capturing signal to generate multiple operation results. The driving signal generator respectively provides multiple driving signals to the illumination device according to the operation results, and the driving signals respectively have multiple different output powers.

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 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 invention discloses an image processing apparatus and method. The method of the invention first splits the image into a green color plane, a red color plane and a blue color plane. Afterward, each one of the green color plane, the red color plane and the blue color plane is sequentially masked by a working window, such that each of the pixels on the one color plane is sequentially located at the center of the working window and referred to as a central pixel. Then, the pixels other than the central pixel in the working window are classified into edge pixels and non-edge pixels. Finally, a filtered central pixel is calculated according to a formula, and the central pixel is replaced with the filtered central pixel, whereby the noises of the image remained in the CFA domain are suppressed.

Abstract: The invention discloses an image processing apparatus and method. The method of the invention first splits the image into a green color plane, a red color plane and a blue color plane. Afterward, each one of the green color plane, the red color plane and the blue color plane is sequentially masked by a working window, such that each of the pixels on the one color plane is sequentially located at the center of the working window and referred to as a central pixel. Then, the pixels other than the central pixel in the working window are classified into edge pixels and non-edge pixels. Finally, a filtered central pixel is calculated according to a formula, and the central pixel is replaced with the filtered central pixel, whereby the noises of the image remained in the CFA domain are suppressed.