image-enhancement | 易学教程

Does PIL ImageEnhance library supports 16 bit JPG images

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问题 I am trying to save and display 16 bit JPG image. but getting error like image has wrong mode . If Supported, then what will be the mode? 回答1: Check this The mode (this is a string specifying the pixel format used by the image) of an image defines the type and depth of a pixel in the image. The current Python Imaging Library release only supports the following standard modes: 1 (1-bit pixels, black and white, stored with one pixel per byte) L (8-bit pixels, black and white) P (8-bit pixels,

What software would you recommend for image enhancement prior to OCR (Optical Character Recognition)? [closed]

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问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 6 years ago . We are currently researching ways of enhancing image quality prior to submission to OCR. The OCR engine we are currently utilizing is the Scansoft API from Nuance (v15). We were researching the Lead Tools but have since decided to look elsewhere. The licensing costs associated with Lead Tools is just too great.

OpenCV 3.0 RGBD DepthCleaner

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问题 I am having some difficulties to use the function DepthCleaner () with method = DEPTH_CLEANER_NIL to clean a depth image. This function is released in OpenCV 3.0.0. So, it's too early to find useful documentation for this function. If anyone of you have already used this function, could you please inform me which set of functions and codes I use to get a clean depth image. Let's say, I have a depth image from Kinect1 named as 'Img1.png'. I am declaring the image and using DepthCleaner as

Image Enhancement using combination between SVD and Wavelet Transform

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问题 My objective is to handle illumination and expression variations on an image . So I tried to implement a MATLAB code in order to work with only the important information within the image. In other words, to work with only the "USEFUL" information on an image. To do that, it is necessary to delete all unimportant information from the image. Reference: this paper Lets see my steps: 1) Apply the Histogram Equalization in order to get an histo_equalized_image=histeq(MyGrayImage) . so that large

Retinex algorithm implementation

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问题 I need to implement Single Scale retinex and multiscale retinex algorithm in C#, I searched a bit but couldn't find any useful practice projects and artilces with code As I understood correctly I should: Convert RGB to YUV Blur the image using Gaussian blur filter Use I'(x, y) = 255*log10( I(x, y)/G(x, y) ) + 127.5 I - is illumination, G - Gaussian kernel, I' - the result image Сonvert back YUV to RGB This code is not working correctly public static Image<Bgr, byte> SingleScaleRetinex(this

Image Enhancement using combination between SVD and Wavelet Transform

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My objective is to handle illumination and expression variations on an image . So I tried to implement a MATLAB code in order to work with only the important information within the image. In other words, to work with only the "USEFUL" information on an image. To do that, it is necessary to delete all unimportant information from the image. Reference: this paper Lets see my steps: 1) Apply the Histogram Equalization in order to get an histo_equalized_image=histeq(MyGrayImage) . so that large intensity variations can be handled to some extent. 2) Apply svd approximations on the histo_equalized

Retinex algorithm implementation

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I need to implement Single Scale retinex and multiscale retinex algorithm in C#, I searched a bit but couldn't find any useful practice projects and artilces with code As I understood correctly I should: Convert RGB to YUV Blur the image using Gaussian blur filter Use I'(x, y) = 255*log10( I(x, y)/G(x, y) ) + 127.5 I - is illumination, G - Gaussian kernel, I' - the result image Сonvert back YUV to RGB This code is not working correctly public static Image<Bgr, byte> SingleScaleRetinex(this Image<Bgr, byte> img, int gaussianKernelSize, double sigma) { var radius = gaussianKernelSize / 2; var

White balance algorithm [closed]

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I'm doing some image processing and I need an automatic white balancing algorithm that's not too intensive in terms of CPU computation time. Any recommendations? EDIT: and if it's relevant to efficiency, I'll be implementing it in Java with color images as an array of integers. A relatively simple algorithm is to average the hues (in HSV or HSL) of the brightest and darkest pixels on the screen. In a pinch, go with the brightest pixel only. If the hues between brightest and darkest are too different, go with the bright pixel. If the dark is near black go with the bright pixel. Why even look at

White balance algorithm [closed]

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问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 8 months ago . I'm doing some image processing and I need an automatic white balancing algorithm that's not too intensive in terms of CPU computation time. Any recommendations? EDIT: and if it's relevant to efficiency, I'll be implementing it in Java with color images as an array of integers. 回答1: A relatively simple