Abstract:
A method and an apparatus for computation on a convolutional layer of a neural network are proposed. The apparatus includes an adder configured to receive a first sum of products, receive a pre-computed convolution bias of the convolutional layer, and perform accumulation on the first sum of products and the pre-computed convolution bias to generate an adder result of the convolutional layer, where the first sum of products is a sum of products of quantized input activation of the convolutional layer and quantized convolution weights of the convolutional layer, and where the pre-computed convolution bias is associated with a zero point of input activation of the convolutional layer and a zero point of output activation of the convolutional layer.
Abstract:
The disclosure provides an image processing device. An image processing device includes a neural network circuit, a gain control circuit, and an image merge circuit. The neural network circuit is configured to receive an input image, and perform an image processing operation on the input image according to fixed parameters to output a first intermediate image. The gain control circuit, coupled to the neural network circuit, is configured to receive the first intermediate image from the neural network circuit, and multiply the first intermediate image by at least one amplitude gain to output a second intermediate image. The image merge circuit, coupled to the gain control circuit, configured to receive the second intermediate image and the input image, and combine the second intermediate image and the input image to obtain an output image. In addition, a method for image enhancement is also provided.
Abstract:
A noise detection method including the following steps is provided. During different time periods, plural sets of driving signals are respectively transmitted to driving lines of the touch panel to drive sensing lines of the touch panel to generate plural sets of sensing signals. The plural sets of sensing signals are respectively received and calculated to obtain plural sets of summation signals. One set of summation signals includes first summation signals, and another set of summation signals includes second summation signals. A part or all of the first summation signals is replaced by the second summation signals. A signal value of a combination of the first and the second summation signals is calculated to obtain a summation thereof. The summation of the signal value of the combination is smaller than a summation of a signal values of the first summation signals before recombination.
Abstract:
A noise detection device, system, and a method of detecting noise signals are disclosed. The noise detection device includes a drive circuit, a sense circuit and a controller. The drive circuit drives a plurality of drive lines having a first polarity pattern and a second polarity pattern, wherein an operation of the first polarity pattern and the second polarity pattern substantially equals zero over a predetermined time period. The sense circuit senses a plurality of sense signals from at least one sense line during the predetermined time period. The controller derives a magnitude of a noise signal from the at least one sense line according to the sense signals.
Abstract:
The disclosure provides an image processing device. An image processing device includes a neural network circuit, a gain control circuit, and an image merge circuit. The neural network circuit is configured to receive an input image, and perform an image processing operation on the input image according to fixed parameters to output a first intermediate image. The gain control circuit, coupled to the neural network circuit, is configured to receive the first intermediate image from the neural network circuit, and multiply the first intermediate image by at least one amplitude gain to output a second intermediate image. The image merge circuit, coupled to the gain control circuit, configured to receive the second intermediate image and the input image, and combine the second intermediate image and the input image to obtain an output image. In addition, a method for image enhancement is also provided.
Abstract:
A noise detection method including the following steps is provided. During different time periods, plural sets of driving signals are respectively transmitted to driving lines of the touch panel to drive sensing lines of the touch panel to generate plural sets of sensing signals. The plural sets of sensing signals are respectively received and calculated to obtain plural sets of summation signals. One set of summation signals includes first summation signals, and another set of summation signals includes second summation signals. A part or all of the first summation signals is replaced by the second summation signals. A signal value of a combination of the first and the second summation signals is calculated to obtain a summation thereof. The summation of the signal value of the combination is smaller than a summation of a signal values of the first summation signals before recombination.