sharpen

Here are 22 public repositories matching this topic...

mathusanm6 / Blur-Image

A Python tool for blurring images pixel by pixel using mathematical algorithms and also providing an approximate solution for sharpening the blurred image.

image image-processing blur scipy sharpen kernel-convolution richardson-lucy-deconvolution convolve sharpen-image blind-richardson-lucy

Updated Jun 4, 2024
Python

12-gd / 3x3-SpatialConvolution

Star

3x3 spatial convolution in unity3d shader graph

unity3d blur sharpen levels urp posteffect shadergraph spatialconvolution unsharp

Updated Aug 20, 2023

abullard1 / Python-Mini-ImageProcessor

Star

A small and simple python image processor to apply, view and save a variety of different image filters like threshold, brightness, contrast, blur, sharpen, dilate, erode, edge detection and mirror. Modified images can also be saved. Can also be used using cmmand line arguments. This project was part of some of my university coursework.

python image mirror image-processing pillow contrast pil python3 blur tkinter brightness coursework edge-detection filters sharpen erosion dilation 2d tkinter-gui

Updated Aug 9, 2023
Python

Xelitan / XImage

Star

image processing library for PHP

blur dithering grayscale sharpen sepia emboss imagetga imagebmp imagepnm

Updated Jul 29, 2023
PHP

Milchreis / processing-imageprocessing

Star

Collection of basic image processing algorithms for processing

processing image image-processing contrast dithering brightness edge-detection vignette sharpen halftone tilt-shift toning split-toning

Updated Jun 1, 2023
HTML

olistic / warriorjs

Star

🏰 An exciting game of programming and Artificial Intelligence

nodejs javascript game ai js skills test artificial-intelligence learn warriorjs warrior sharpen epic battle

Updated Apr 4, 2023
JavaScript

julyskies / brille

Star

Brille is an image processing module for Golang

go golang image-processing sharpen filtering kuwahara sobel laplacian emboss gaussian-blur box-blur brille

Updated Mar 21, 2023
Go

ablanco1950 / ablanco1950-LicensePlate_FindContours_And_Haarcascade

Star

Using together cv2's findcontours and Haarcascade license plate detection together with the application of an extensive set of filters

python opencv machine-learning ocr computer-vision image-processing object-detection sharpen filtering opencv-python haar-cascade canny pytesseract otsu license-plate-recognition clahe findcontours

Updated Mar 13, 2023
Python

ablanco1950 / LicensePlate_CLAHE

Star

Through the use of Contrast Limited Adaptive Histogram Equalization (CLAHE) filters, completed with otsu filters, a direct reading of car license plates with success rates above 70% and an acceptable time is achieved

python opencv computer-vision image-processing cnn filters sharpen opencv-python canny pytesseract otsu license-plate-recognition clahe

Updated Mar 13, 2023
Python

ablanco1950 / LicensePlate_FindContours

Star

A recognition licenses plates based in FindContours

python opencv machine-learning ocr computer-vision image-processing image-classification convolutional-neural-networks object-detection image-segmentation sharpen cv2 opencv-python canny otsu license-plate-recognition findcontours

Updated Mar 13, 2023
Python

ablanco1950 / LicensePlate_Labeled_MaxFilters

Star

From images of cars in which their license plates have been labeled, and passing filters, their recognition is attempted by pytesseract . As there is not a single filter that works for all the licensess, it is tried with several filters and The license plate number that has been detected the most times is assigned.

python opencv machine-learning ocr computer-vision label image-processing image-classification object-detection sharpen cv2 pascal-voc kaggle-dataset pytesseract otsu license-plate-recognition clahe roboflow

Updated Mar 13, 2023
Python

ablanco1950 / OCRFromScratch_Chars74K_SpanishLicensePlate

Star

OCR from scratch using Chars74 Dataset: http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/ applied to the case of Spanish car license plates or any other with format NNNNAAA. The hit rate is lower than that achieved by pytesseract: in a test with 21 images, 12 hits are reached while with pytesseract the hits are 17.