Please detailed answers of all the questions

Q 1. Can there be a loss of information during the process of image quantization? Discuss in your words how this can affect the solution to a problem. Which type of images can be mostly affected by this effect in your opinion? Explain Q2. Discuss in your own words, the importance of image transforms in digital image processing. How beneficial are they in solving complex problems in image processing? How feasible is it to never employ them and always use mathematical operations in spatial domain? Explain Q 3. Describe the benefits and drawbacks of using histogram equalization. Explain the situation when it fails for achieving its objectives, and how we can correct this problem. Q.4. Comment on how the size of the filter mask (convolution kernel) affects the performance of image filtering in terms of output quality and computational complexity. How can we decide a good filter size for a particular application? Q 5. Compare the results of using first derivative versus second derivative for detecting edges or sharp details in images