Network-in-Network Implementation using TensorFlow

Introduction In this Lab, we will be implementing Network In Network [1] where its purpose is to enhance model discriminability for local patches within the receptive field. Conventional convolutional layers uses linear filters followed by a nonlinear activation function. The downside of the conventional method is the local receptors are too simple and doesn’t project local […]

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Wiener Filter

Wiener filter is a filter used to remove degradation from a image without being affected by noise that’s present in the image. If wiener filter is not used, and the image is restored just by dividing the frequency domain of an image by the frequency domain of the future, the image will be badly corrupted […]

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Image White Balance

Introduction White balance is used to remove unrealistic colour casts caused by different light source. It’s easy for human eyes to adjust what we see according to the light source of the current environment but it’s hard for the camera to adjust according to the lighting condition of the room. Sometimes, we refer that as […]

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Resolution Quantization

Each pixel of an image is usually representing using 4 bytes: 3 colors (R,G,B) and Alpha (A) or just 3 bytes (R,G,B). As we know 1 byte is 8 bits and it can represent values from 0 to 255 (unsigned). Thus in terms of RGB a pixel will have a combination of 224 which is 16777216 […]

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