DIP 47 and DIP 58 to 63

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For insulators, the band energy gap is typically greater than 3 eV, with some materials having gaps greater than 5 eV. Dielectrics can have a wide range of band gaps, some of which are greater than 5 eV.

The general range for the band gap of semiconductors is approximately 0.1 to 3 eV, but there are some variations: Intrinsic semiconductors (pure semiconductors like silicon or germanium) typically have band gaps around 1-1.5 eV (e.g., silicon has a band gap of about 1.1 eV, and germanium has a band gap of about 0.66 eV). Wide-bandgap semiconductors (such as gallium nitride (GaN) and silicon carbide (SiC)) have band gaps greater than 2 eV, often in the range of 2-3 eV or more. Narrow-bandgap semiconductors (like indium antimonide (InSb) or gallium arsenide (GaAs)) can have band gaps as small as 0.1 to 0.3 eV.

Not all electrons in the valence band can transition to the conduction band because only those with sufficient energy to overcome the band gap are available for conduction.

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The ppts or PDFs are prepared chapter wise. In each chapter there are multiple videos' content. Please let me know, which one you are not getting.

It is nk/n, the PDF of gray levels. Refer this video for more details... kzbin.info/www/bejne/l3K7n4xmm6Z5fac

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Link to download ppts/lecture notes: drive.google.com/drive/folders/1AtR1eq6ZvQf-5vjXEMUPXNj2S0d9rAMZ?usp=share_link

@StudywithDrDafda Thankyou so much sir ☺️☺️

OK. Will try.

Yes, the MATLAB function medfilt2() uses padding when performing median filtering. By default, it pads the input image with zeros around the border. This means that the edges of the image will be treated with a value of zero when calculating the median for the pixels at the border. You can specify different padding options by using additional arguments or by preprocessing the image before applying the median filter.

@@StudywithDrDafda what is padding sir?

Padding refers to the process of adding extra values around the border of an image (or matrix) to allow certain operations, such as filtering, to be performed at the edges or corners of the image. The added values are used to fill the region outside the original image boundary during operations like convolution, filtering, and other spatial operations, ensuring that every pixel in the image, including those near the edges, can be processed in the same way as those in the center.

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OK. Thank you for the suggestion.

The book is, Digital Image Processing by Gonzalez and Woods.

Present in the video at 8:47

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Thank you respected Sir.