Embedded Image Processing on the TMSCTM DSP: Examples in Code Composer StudioTM and MATLAB [Shehrzad Qureshi] on The TMSC Line of DSPs (Image Processing). Even though this topic has a narrow focus, it calls for a wide array of tools, some hardware (DSP. Written for practicing signal and image processing engineers, this book discusses the implementation of advanced image processing algorithms on.

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Non-linear filters are precluded from taking advantage of this scheme, as the convolution theorem does not apply to them. Histogram equalization alters the input histogram to produce an output whose histogram is uniform, where the various pixel intensities are equally distributed over the entire dynamic range.

Return to Book Page. In its nominal form, connecting the DSK to the host is simple: Because the patient is subjected to larger amounts of x-ray radiation, it is advantageous to acquire the radiographs using the least amount of x-ray exposure as possible, while still obtaining images of the required contrast.

Color images are typically represented as multi- channel two-dimensional signals, whereas the gray-scale images we have encountered have just a single monochrome channel. NET environment and the virtual machine that the environment is predicated on, the common language runtime or CLR. It is identical to the linker command files used in the CCStudio projects for Chapter 3, except that the “. For reasons that will hopefully become apparent as you read this book, image processing presents its own unique challenges and it is my sincere hope that you find this book helpful in your embedded image processing endeavors.

High-pass filters attenuate low-frequency components, so regions in an image of constant brightness are mapped to zero and the fine details of an image emphasized. Here, the term “real number” refers to the mathematical notion of the ordered set of non-imaginary numbers with a decimal point. These spatial coordinates are usually represented in a Cartesian system as a pair of positive integer values, typically denotes in this book as ij or x,y.

Histogram equalization, a Original image of birds at San Francisco Zoo. Any reference to variables, functions, methods, or pathnames appear in a non-proportional C o u r i e r font, so that they stand out from the surrounding text. Algorithms treated here are frequently missing from other image processing texts, in particular Chapter 6 Waveletsmoreover, efficient fixed-point implementations of wavelet-based algorithms also treated.


C EVM linker command file. Diagram depicting the general software structure of the Windows applications developed in this book. This function is especially helpful, as it knows about a slew of common filters, all of which can be tuned according to kernel size and additional filter-specific parameters. In some respects, the use of fixed-point arithmetic can be intimidating and has the potential to open up that veritable can of worms, but generally speaking, in image processing we usually will not encounter such situations.

Embedded Image Processing on the TMSC DSP, w. CD-ROM Buch

These types of images are sometimes referred to as 8-bit images. Bewerten Sie jetzt diesen Artikel. Broadly speaking, image enhancement algorithms fall into two categories: More illumination means greater contrast and processiny better quality image, with a larger delta between pixel intensities corresponding to the bony areas and the background compare the quality of a with that of 3- 5a.

B9 I i 9 Figure As a consequence, neither the input image buffer nor the output image buffer fits in internal on- chip RAM, a situation that if not dealt with appropriately has deleterious effects on the efficiency of the code.

The value channel in this space is roughly equivalent to intensity, so histogram equalization may be safely performed on this channel. Histogram equalizing an RGB image. The DWT, like many other similar transforms commonly encountered in signal and image processing, is a separable transform.

What will happen is that separate equalization of the three color channels will result in artificial color shifts, producing a psychedelic effect of sorts.

Convert umage a floating-point to a fixed-point representation that offers sufficient dynamic range and accuracy, by left bit-shifting. And memory is not the end of this story! When the user interacts with such controls, the MFC framework calls the appropriate callback methods in the CDialog-derived class.

Embedded Image Processing on the TMSC DSP

The VLIW concept is an outgrowth of vector processors, like the Cray supercomputers from the s, which were based on this idea of the exact same operation being performed on an array of data. Upon return, we can save the contrast stretched image data to a file on the host machine using the File Data Save menu selection. The contrast is quite stark in the embedded DSP world however; embedded DSP cores increasingly find their way into real-time systems, with hard deadlines that must be met.

Another point- processing operation, which is the focus of this chapter, is histogram modification.

The bits to the right of this “binal point” maintain a fixed number of fraction digits, and it is entirely up to the programmer to manage this binal point during subsequent arithmetic operations. The lines in bold are the ones that need to be tailored according to your specific installation.


A DSP is thus the best choice for high- performance image processing, where the algorithms largely consist of repetitive numerical computations operating on pixels or groups of pixels, and where such processing must take place in a low-cost, low-power, embedded, and possibly real-time, system.

Zvr added proceszing May 17, The image visualization feature of CCStudio is quite full-featured, in fact if you click within the image window the pixel coordinates and the intensity is displayed in the tma320c6000 bar at the bottom of the display. Too little illumination and the image appears dark and of low-contrast. Because image filtering in general is a well-structured algorithm, this spatial locality once the algorithm has accessed the pixel NH2 times, it is never needed it again can be exploited using a memory optimization technique known as paging.

Embedded Image Processing on the Tms320c6000 DSP: Examples in Code Composer Studio and MATLAB

Taken together and all at once, these concerns may seem overwhelming to the uninitiated. AChapter 1, section 1. Some of the Visual Procesding. Most of what will be needed involves changing the linker command file see 3. Remapping pixels using histogram equalization.

Upon running the program, the debugger will stop at this line. Figure tthe the situation for a 5×5 kernel situated at the top-left corner of an image.

Basically what happens is that each input pixel f i,j is replaced by a function of f i,j ‘s neighboring pixels. Even though this topic has a narrow focus, it calls for a wide array of tools, some hardware DSP development boards but mostly software.

Embedded Image Processing on the TMS320C6000 DSP

Likewise, the number of output pixels with gray-level values lying between s and Ay is pg s As. While this is first and foremost a practitioner’s book, it goes without saying that a solid understanding of the theoretical underpinnings of any algorithm is critical to achieving a good implementation on a DSP.

The DMA controller can be used to perform burst transfers of data, where only the initial access incurs the cycle penalty, and the remainder entail only cycles per word.

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