Search for "Image processing" in article titles:

1. Image processing: Most one- or two-dimensional signals in everyday life (audible or visible) arise in analogue form. Optical imaging systems or electrical networks process information in an analogue way. [100%] 2024-01-10 [W.Krisher and R.Bock] [Data analysis]...
2. Image processing: Image processing : The numerical manipulation of digital images. [100%] 2023-06-29
3. Quantization (image processing): Quantization, involved in image processing, is a lossy compression technique achieved by compressing a range of values to a single quantum value. When the number of discrete symbols in a given stream is reduced, the stream becomes more compressible. (Image processing) [81%] 2023-02-07 [Lossy compression algorithms] [Image compression]...
4. Quantum image processing: Quantum image processing (QIMP) is using quantum computing or quantum information processing to create and work with quantum images. Due to some of the properties inherent to quantum computation, notably entanglement and parallelism, it is hoped that QIMP technologies will ... (Processing quantum-encoded images) [81%] 2023-12-09 [Quantum computing] [Image processing]...
5. Analog image processing: In electrical engineering and computer science, analog image processing is any image processing task conducted on two-dimensional analog signals by analog means (as opposed to digital image processing). Basically any data can be represented in two types named as ... [81%] 2024-01-10 [Image processing]
6. Object (image processing): An object in digital image processing is an identifiable portion of an image that can be interpreted as a single unit. (Image processing) [81%] 2023-08-25 [Image processing]
7. Watershed (image processing): In the study of image processing, a watershed is a transformation defined on a grayscale image. The name refers metaphorically to a geological watershed, or drainage divide, which separates adjacent drainage basins. (Image processing) [81%] 2023-10-17 [Mathematical morphology] [Image segmentation]...
8. Crystallographic image processing: Crystallographic image processing (CIP) is traditionally understood as being a set of key steps in the determination of the atomic structure of crystalline matter from high-resolution electron microscopy (HREM) images obtained in a transmission electron microscope (TEM) that is ... [81%] 2024-01-10 [Crystallography]
9. Digital image processing: Digital image processing is the use of a digital computer to process digital images through an algorithm. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. (Algorithmic processing of digitally-represented images) [81%] 2024-01-10 [Computer-related introductions in the 1960s] [Computer vision]...
10. Microscope image processing: Microscope image processing is a broad term that covers the use of digital image processing techniques to process, analyze and present images obtained from a microscope. Such processing is now commonplace in a number of diverse fields such as medicine ... [81%] 2024-01-10 [Image processing] [Microscopy]...
11. Digital image processing: Digital image processing is the use of a digital computer to process digital images through an algorithm. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. (Algorithmic processing of digitally-represented images) [81%] 2024-01-10 [Computer vision] [Image processing]...
12. Scilab Image Processing: SIP is a toolbox for processing images in Scilab. SIP is meant to be a free, complete, and useful image toolbox for Scilab. [81%] 2024-02-14 [Computer vision software] [Numerical programming languages]...
13. Crystallographic image processing: Crystallographic image processing (CIP) is traditionally understood as being a set of key steps in the determination of the atomic structure of crystalline matter from high-resolution electron microscopy (HREM) images obtained in a transmission electron microscope (TEM) that is ... (Physics) [81%] 2024-01-10 [Crystallography]
14. Normalization (image processing): In image processing, normalization is a process that changes the range of pixel intensity values. Applications include photographs with poor contrast due to glare, for example. (Image processing) [81%] 2023-12-28 [Image processing]
15. Thresholding (image processing): In digital image processing, thresholding is the simplest method of segmenting images. From a grayscale image, thresholding can be used to create binary images. (Image processing) [81%] 2023-02-01 [Image segmentation]
16. Gradient-domain image processing: Gradient domain image processing, also called Poisson image editing, is a type of digital image processing that operates on the differences between neighboring pixels, rather than on the pixel values directly. Mathematically, an image gradient represents the derivative of an ... [70%] 2024-01-10 [Image processing]
17. Gradient-domain image processing: Gradient domain image processing, also called Poisson image editing, is a type of digital image processing that operates directly on the differences between neighboring pixels, rather than on the pixel values. Mathematically, an image gradient represents the derivative of an ... [70%] 2024-01-10 [Image processing]
18. Understanding FPGA Image Processing Algorithms: See D. Bailey's Book "Design for Embedded Image Processing on FPGAs" See an EURASIP papar See a median filter paper See A. [63%] 2023-04-05 [Algorithms]
19. IEEE Transactions on Image Processing: The IEEE Transactions on Image Processing is a monthly peer-reviewed scientific journal covering aspects of image processing in the field of signal processing. It was established in 1992 and is published by the IEEE Signal Processing Society. [63%] 2023-02-18 [Image processing] [Computer science journals]...