EMBEDDED IMAGE PROCESSING ON THE TMS320C6000 DSP PDF

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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While averaging filters always consist of purely positive kernels, that is not the case for high-pass kernels.

Omissions from this list are inadvertent. Comparison of dark vs. GPPs are designed to perform a diverse range of computing tasks many of them not numerically oriented and typically run heavy-weight operating systems definitely not suited for embedded and especially real-time systems.

The next step is to use the discrete PDF to compute bounds of the linear scaling function that stretches the contrast tms320c66000 the image.

Embedded Image Processing on the TMS320C6000 DSP

As one might imagine, this analysis is an extraordinarily difficult task, and while the compiler does do some things to alleviate the burden on the CPU, the CPU is very much in the loop with regards to optimizing the flow of instructions through the pipeline. Convolution is of fundamental importance in signal processing theory, and because this topic is covered so well in many other sources2’3, a mathematically rigorous and thorough discussion is not given here. Both the image and kernel are transformed using the 2D FFT, which in general produces two complex numbered matrices containing the discrete Fourier coefficients for both the image and filter kernel.

Fixed-point numbers were introduced in 2. The slider bars adjust the window and level, and the processed image is updated in real-time.

Hence, if there are NOPs injected in the packet imwge to data dependencies, the processor’s resources are not fully utilized. With fixed-point arithmetic, the proper scaling of the data is of the utmost importance. This issue of data residing in external off-chip RAM is even more pressing in comparison to the point processing operations of Chapter 3, because here the interior pixels of the input image need to be accessed multiple times.

With fixed-point arithmetic, we almost always use more than eight bits in order to gain additional dynamic range and fractional resolution. The compiler groups together multiple instructions that do not have any dependencies into procesaing single VLIW instruction, ox fetch packet, to borrow TI’s nomenclature.

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Because the kernel and image matrices are probably not of the same size, prior to applying the 2D FFT the smaller of the two is expanded through an operation known as zero-padding, where zeros are appended to the matrix see Figure b.

In contrast, frequency domain methods use mathematical tools such as the Discrete Fourier Transform to convert the 2D […]. NH filtered rows are then combined via summation across the orthogonal column-wise direction, thereby producing pixels in the output image that have been filtered in a 2D fashion. This M-file does not use any functions from the Image Processing Toolbox. Finally, for Windows-related programming issues the following web-sites are highly recommended: As we have just seen, in histogram equalization a single output is generated – a transformed image with a flat, or uniform, probability distribution.

Goodreads helps you keep track of books you want to read. Essentially, efficient display of a bitmap image boils down to an operation known as a “bit-block transfer”, for which the legacy B i t B i t GDI function could be used. An example fixed-point representation is shown in Figurefor the case of an 8-bit encoding.

req: Embedded Image Processing on the TMSC DSP

As we have already seen, various types of averaging kernels produce a blurred, or smoothed, image. This chapter contains introductory material and Chapter 2 is important background information on the various tools employed throughout the rest of the book. In its nominal form, connecting the DSK to the host is simple: The remaining two functions, W and L, implement sliders allowing the user to change window and level, respectively.

While it makes for less aesthetically pleasing code, once you get the hang of it, the machinations of fixed-point arithmetic are really not that difficult to deal with. That being said, there is one resource above all others that anyone serious about C6x development should be aware of, and that is the Yahoo! To be useful, in both instances we require some minimal GUI facilities as well as visualization capabilities.

Rather, the recommended course of action is to apply a color transformation to the RGB channels that maps R, G, and B to the hue, saturation, and value HSV color space – this process is detailed in Figure Loadlmage reads in a CCS data file, specified by the third input argument, and sends it to the global variable specified by the fifth argument in this case img.

Eventually, the cost of transforming two matrices to the frequency domain via the 2D FFT and one matrix back to the time domain via the 2D inverse FFT is balanced out by the fact that in between these two transforms, element-wise multiplication occurs, as opposed to sliding a mask across an image and computing the sum of products at each step. Development of all the DSP applications in the topic was done using version 2.

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Spatial Processing Techniques 37 3. One way is to copy the project directory onto the local hard drive, and then open the project in CCStudio. Provide numerous Visual Studio. Spatial Processing Techniques 69 Figure shows this application, along with the major MFC objects comprising the main dialog. Trivia About Embedded Image Pr Code Composer Studio provides numerous data visualization tools. Both of these DSP platforms are introduced in 2.

There are many other examples, some of which do not typically correspond to what most people think of as an image. Aside from image processing, the author also explains the uses and rationale behind a plethora of technologies, most notably several industry-standard and essential TI developer technologies, including the Code Composer Studio TM IDE.

After resetting the board, re-open CCStudio and attempt the load operation again. This technique goes by […]. In short, for image filtering to be effective, these factors must be taken into account – no filter exists that can robustly handle all types of noise. In the ideal case, we would hope that the execute packet equals the fetch packet, but at least TI has covered their tracks somewhat if this cannot be done.

These frequency coefficients are subsequently manipulated, and then the inverse transform is applied to map the frequency coefficients back to gray-level pixel intensities. The floating-point version clocks in at 35, cycles on a C EVM, while the fixed-point version takes cycles, as measured by the CCStudio profiler. ModelSim – How to force a struct type written in SystemVerilog? These types of images are sometimes referred to as 8-bit images.

Link for Code Composer Studio: If the sign bit were flipped, then the final result would be negated, a A quantity akin to a normal one byte signed char, where the integer number is calculated according to the rules of a two’s complement format, b An examplefixed-pointrepresentation using the same bits as above, with the radix point placed between the third and fourth least significant bits.

This was followed a year later with Visual Studio.

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