Abstract: An integer division circuit with allowable error is described, what a signal processing apparatus includes a pointer, a first left shifter, a second left shifter, a subtractor, a multiplier, and a right shifter. The pointer searches for a most significant non-zero bit of a divisor and outputs a most significant byte value. The first left shifter performs a shift operation according to the most significant byte value, so as to generate a first exponential coefficient. The second left shifter performs a shift operation according to the most significant byte value, so as to generate a second exponential coefficient. The subtractor calculates a multiplier factor according to the divisor, the first exponential coefficient, and the second exponential coefficient and outputs the multiplier factor to the multiplier. The multiplier multiplies an input value with the multiplier factor and outputs a result to the right shifter. The right shifter outputs a calculation result.

Abstract: A dead pixel real-time detection method for image applicable in a digital camera is provided. The method is utilized to achieve the real-time detection of dead pixels in an image, upon obtaining the image by the digital camera, thus locating the dead pixel desired to be repaired. Through the real-time detection, the large amount of manpower and working-hours spent on detection and correction of the dead pixels of digital cameras on a production line can be saved, and the large amount of storage space occupied by the position information of the dead pixels in a digital camera can also be reduced. More importantly, in the detection process, the dead pixels can be determined more accurately through dynamically adjusting a threshold value as based on the different attributes of the various images, thus achieving the raising of the quality of the images significantly.

Abstract: An image noise reduction method based on an optimal primary-color signal is suitable for a digital camera to reduce noises in a digital image. The image noise reduction method mainly includes the following steps, taking out primary-color signals of a digital image, including taking out high-frequency and low-frequency signals of the optimal primary-color signal and high-frequency and low-frequency signals of the worst primary-color signal by using a high-pass filter and a low-pass filter; next, mixing the high-frequency signal of the optimal primary-color signal with that of the worst primary-color signal, and superposing the mixed signal to the low-frequency signal of the worst primary-color signal, so as to get a digital image signal after noise reduction.

Abstract: A dead pixel real-time detection method for image applicable in a digital camera is provided. The method is utilized to achieve the real-time detection of dead pixels in an image, upon obtaining the image by the digital camera, thus locating the dead pixel desired to be repaired. Through the real-time detection, the large amount of manpower and working-hours spent on detection and correction of the dead pixels of digital cameras on a production line can be saved, and the large amount of storage space occupied by the position information of the dead pixels in a digital camera can also be reduced. More importantly, in the detection process, the dead pixels can be determined more accurately through dynamically adjusting a threshold value as based on the different attributes of the various images, thus achieving the raising of the quality of the images significantly.