Abstract: Apparatuses, systems, and techniques to improve processing efficiency are provided. In at least one embodiment, a processing unit is described as including circuitry that receives an input vector and applies an activation function to the input vector by performing a hardware approximation of the activation function in a vector manner. The circuitry also generates an output vector based on the activation function.

Abstract: A noise reduction apparatus for digital cameras is presented that includes groups of one or more connected non-linear filter units. Each of the filter unit groups are driven by decimated input image data at a different level of decimation and the output of at least one of these filter unit groups serves as one of a plurality of inputs to another filter unit group driven at a different decimation level. Filtered image data from one or more filter unit groups is adaptively combined in response to one or more image metrics related to one or more local regional image characteristics.

Abstract: A noise reduction apparatus for digital cameras is presented that includes groups of one or more connected non-linear filter units. Each of the filter unit groups are driven by decimated input image data at a different level of decimation and the output of at least one of these filter unit groups serves as one of a plurality of inputs to another filter unit group driven at a different decimation level. Filtered image data from one or more filter unit groups is adaptively combined in response to one or more image metrics related to one or more local regional image characteristics.

Abstract: A noise reduction apparatus for digital cameras is presented that includes groups of one or more connected non-linear filter units. Each of the filter unit groups are driven by decimated input image data at a different level of decimation and the output of at least one of these filter unit groups serves as one of a plurality of inputs to another filter unit group driven at a different decimation level. Filtered image data from one or more filter unit groups is adaptively combined in response to one or more image metrics related to one or more local regional image characteristics.

Abstract: Techniques for implementing a Black Level Correction (BLC) processing operation on image data signal pixel values that results in little to no nonlinearity in the dark areas of the image due to black noise clipping, and avoids reducing image quality or adding cost, are provided. Image data signal pixel values are caused to maintain black level while being operated on by image data signal processor circuits that precede a Noise Reduction (NR) processing operation, thus allowing the BLC processing operation to be executed after the NR processing operation. With black noise mostly removed, little to no nonlinearity in the dark areas of the image due to black noise clipping results from the BLC processing operation.

Abstract: A noise reduction apparatus for digital cameras is presented that includes groups of one or more connected non-linear filter units. Each of the filter unit groups are driven by decimated input image data at a different level of decimation and the output of at least one of these filter unit groups serves as one of a plurality of inputs to another filter unit group driven at a different decimation level. Filtered image data from one or more filter unit groups is adaptively combined in response to one or more image metrics related to one or more local regional image characteristics.

Abstract: A noise reduction apparatus is presented that includes groups of one or more serially connected non-linear filter units. Each of the filter unit groups are driven by decimated input image data at a different level of decimation and the output of at least one of these groups serves as one of a plurality of inputs to another group driven at a different decimation level.

Abstract: A noise reduction apparatus is presented that includes groups of one or more serially connected non-linear filter units. Each of the filter unit groups are driven by decimated input image data at a different level of decimation and the output of at least one of these groups serves as one of a plurality of inputs to another group driven at a different decimation level.

Abstract: Techniques for implementing a Black Level Correction (BLC) processing operation on image data signal pixel values that results in little to no nonlinearity in the dark areas of the image due to black noise clipping, and avoids reducing image quality or adding cost, are provided. Image data signal pixel values are caused to maintain black level while being operated on by image data signal processor circuits that precede a Noise Reduction (NR) processing operation, thus allowing the BLC processing operation to be executed after the NR processing operation. With black noise mostly removed, little to no nonlinearity in the dark areas of the image due to black noise clipping results from the BLC processing operation.

Abstract: A noise reduction apparatus is presented that includes groups of one or more serially connected non-linear filter units. Each of the filter unit groups are driven by decimated input image data at a different level of decimation and the output of at least one of these groups serves as one of a plurality of inputs to another group driven at a different decimation level.