GTU 3171109 Digital Image and Video Processing Winter 2025 Question Paper & PDF

Grey level image has intensity range from 50 to 150. We need to display this image on a device that has grey level range of 0 to 255. Write equation of the transformation function suitable for the display.

Suggest suitable method of reducing 256 gray levels image to 32 gray level image i.e. transformed image requires 5 bit per pixel instead of 8 bit per pixel

Consider image size of 1024x768 having 65535 colors. What is transmission time required to transmit this image without compression using internet speed of 40 MBPS. What is the storage requirement in bytes for such 1000 images?

What will be negative 4x4 digital image for the following 8 bit 3x3 digital image? 100 155 155 255 255 0 0 255 100 0 0 100 0 0 0 0

In contrast stretching with piece-wise linear input-output characteristics having corner points (0,0) (50,150) (100,200) (150,200), (200,225) and (255,255). What will be Output pixel value for input pixel 25, 60, 75 and 200 ?

Explain the principle of the Discrete Fourier Transform (DFT) and its importance in image processing. Include an example where DFT is used to filter out high-frequency noise from an image.

Explain concept of Euclidean distance, City block distance, Chessboard distance with example.

Describe the process of image restoration and its difference from image enhancement. Provide a detailed example of restoring an image that has been degraded by salt and pepper noise.

Assess the effectiveness of lossy versus lossless compression methods on image quality.

Define video segmentation and briefly explain its significance in multimedia applications.

What are the trade-offs between compression ratio and image quality in lossy compression?

Explain concept wavelet transform with help of block diagram. How wavelet transform can be useful for multi resolution analysis of given digital image?