Customer Reviews

Digital Image Processing Algorithms and Applications

5 star:		(0)
4 star:		(0)
3 star:		(2)
2 star:		(0)
1 star:		(0)

 

 

This book gives a good summary of theory as well as algorithm (in C code written to illustrate the algorithm rather than optimal performance). If you are looking for a high-level book that throughly explains theory then this is not the one. If you want theory and some example code then this is a good buy. The bibliography at the end of each chapter gives great pointers of where to go for more detailed theory. I would recommend this to students in image processing or professionals who have to acquire image processing skills.

My only major complaint is the low quality example pictures. They are small and all in black and white. Otherwise I would have given this book 4 stars.

Many topics in image enhancement, analysis, compression and description. The algorithms are usually 1 page or less of C code.

I'd prefer more intuitive descriptions of the ideas. The formulas and computer code are usually harder to read than for the reader to come up with himself, if the basic idea is expressed well in English.

Could be smoother presentation. For example, in histogram equalization, Pitas brings up pdf's then says the histogram is an approximation to the pdf. But there really is nothing to be gained intuitively or otherwise by bringing the pdf into the discussion at all -- we're really just equalizing the histogram.