Introduction on Digital Image processing Course Number: 010366 Courses Hour CRedits]: 48(3] Course Type: Limited Selected Course Prerequisites: Higher Mathematics, Stochastic Theory, Linear Algebra, Signals and Systems, Signal Processing Applicable Major: Communication Engineering, Electronics and Information Engineering Information Engineering. Radio and Television Engineering also known as computer image processing. It firstly transforms image signal into digital signal, then processes the signal using computer. In the 1950s, the current computer already attained a certain level and was utilized to process graphic and image information. In the middle of 1960s, Digital Image Processing already became an independent subject. The early purpose of the subject is to improve the quantity of image for human visual system. We process the low quality input image to acquire high quality output image by some image processing methods, for example, image enhancement, image reconstruction, image coding d The main research content in digital image processing includes the following several aspects i)image transform, it is difficult to directly process image in the space domain because too large image matrix results in too huge computation burden. Hence some methods about image transformation, such as Flourier Transform, Walsh Transform, Discrete Cosine Transform,are utilized to transform the image from the space domain to others domain. The kind of method not only decreases the computation burden, but also achieves the more efficient processin performance. For example, Wavelet transform has good local characteristics in time and frequency domain and has been applied very widely. ii) Image coding, it can deduce the quantity of data(Bit number)that describes the image, save the process and transmission time and the storage space Image compression may be fulfilled with no distortion and limited distortion Coding is the most important for compression and has matured sufficiently to process image. ii) Image enhancement and reconstruction, the purpose of the kind of technologies is to improve the quality of image. For example, noise elimination and image definition improvement. Image enhancement mainly enhances the interesting parts of image regardless of the reason that reduced image quality. For example, enhancing the high frequency component of image can make image outline and image details clearer. On the other hands, enhancing the low frequency component of image can decrease the influence of noise. Besides, image reconstruction commonly need a certain priori information about degradation reasons. A model for degradation is designed according to the known information firstly, and some filter method is utilized to reconstruct and recover the image IV)Digital image processing is already applied widely any fields. For example, image ge processing and video image processing. This course would involve these extend content to enhance the effect of study Digital image processing is an important professional course for communications engineering, electronics and information engineering, information engineering and radio and television engineering in higher engineering college. The prerequisites of the course include signals and systems, digital signal processing, information theory and coding, etc. The course emphasizes the overall framework of digital image processing and introduces the basic theory of image analysis and processing. Meanwhile, the course requires students to master a certain practical skill and innovation capacity. These would not only benefit for students to further study computer vision and pattern recognition, but also lay a good foundation for various applied researchIntroduction on Digital Image Processing Course Number: 010366 Courses Hour [Credits]: 48[3] Course Type: Limited Selected Course Prerequisites: Higher Mathematics, Stochastic Theory, Linear Algebra, Signals and Systems ,Signal Processing. Applicable Major: Communication Engineering , Electronics and Information Engineering , Information Engineering , Radio and Television Engineering. Digital Image Processing is also known as computer image processing. It firstly transforms image signal into digital signal, then processes the signal using computer. In the 1950s, the current computer already attained a certain level and was utilized to process graphic and image information. In the middle of 1960s, Digital Image Processing already became an independent subject. The early purpose of the subject is to improve the quantity of image for human visual system. We process the low quality input image to acquire high quality output image by some image processing methods, for example, image enhancement, image reconstruction, image coding and image compression. The main research content in digital image processing includes the following several aspects: i) image transform, it is difficult to directly process image in the space domain because too large image matrix results in too huge computation burden. Hence some methods about image transformation, such as Flourier Transform, Walsh Transform, Discrete Cosine Transform, are utilized to transform the image from the space domain to others domain. The kind of method not only decreases the computation burden, but also achieves the more efficient processing performance. For example, Wavelet transform has good local characteristics in time and frequency domain and has been applied very widely. ii) Image coding, it can deduce the quantity of data (Bit number) that describes the image, save the process and transmission time and the storage space. Image compression may be fulfilled with no distortion and limited distortion. Coding is the most important for compression and has matured sufficiently to process image. iii）Image enhancement and reconstruction, the purpose of the kind of technologies is to improve the quality of image. For example, noise elimination and image definition improvement. Image enhancement mainly enhances the interesting parts of image regardless of the reason that reduced image quality. For example, enhancing the high frequency component of image can make image outline and image details clearer. On the other hands, enhancing the low frequency component of image can decrease the influence of noise. Besides，image reconstruction commonly need a certain priori information about degradation reasons. A model for degradation is designed according to the known information firstly, and some filter method is utilized to reconstruct and recover the image. IV) Digital image processing is already applied widely in so many fields. For example, image watermark, color image processing and video image processing. This course would involve these extend content to enhance the effect of study. Digital image processing is an important professional course for communications engineering, electronics and information engineering, information engineering and radio and television engineering in higher engineering college. The prerequisites of the course include signals and systems, digital signal processing, information theory and coding, etc. The course emphasizes the overall framework of digital image processing and introduces the basic theory of image analysis and processing. Meanwhile, the course requires students to master a certain practical skill and innovation capacity. These would not only benefit for students to further study computer vision and pattern recognition, but also lay a good foundation for various applied research