1. Digital image correction algorithms
- Subjects
noise reduction ,quality assessment ,ÑÑкоÑÑÑ ,brisque ,оÑенка каÑеÑÑва ,инÑенÑивноÑÑÑ ,saturation ,brightness ,поÑÐ¾Ð³Ð¾Ð²Ð°Ñ ÑÑнкÑÐ¸Ñ ,иÑÐºÐ°Ð¶ÐµÐ½Ð¸Ñ ,algorithms ,конÑÑаÑÑноÑÑÑ ,гиÑÑогÑамма ,contrast ,наÑÑÑенноÑÑÑ ,ÑÑмоподавление ,sharpness ,алгоÑиÑÐ¼Ñ ,ÑезкоÑÑÑ ,distortion ,intensity ,histogram ,threshold function - Abstract
Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «ÐлгоÑиÑÐ¼Ñ ÐºÐ¾ÑÑекÑии ÑиÑÑовÑÑ Ð¸Ð·Ð¾Ð±Ñажений». Ð¦ÐµÐ»Ñ ÑабоÑÑ â ÑеализаÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑиÑмов коÑÑекÑии показаÑелей изобÑÐ°Ð¶ÐµÐ½Ð¸Ñ Ð´Ð»Ñ ÑеализаÑии авÑо-коÑÑекÑии. ÐÐ»Ñ Ð´Ð¾ÑÑÐ¸Ð¶ÐµÐ½Ð¸Ñ Ð´Ð°Ð½Ð½Ð¾Ð¹ Ñели бÑли поÑÑÐ°Ð²Ð»ÐµÐ½Ñ ÑледÑÑÑие задаÑи: 1. ÐзÑÑение меÑодов оÑенки каÑеÑÑва изобÑажениÑ. 2. РеализаÑÐ¸Ñ Ð²ÑбÑанного меÑода Ð´Ð»Ñ Ð¾Ñенки каÑеÑÑва изобÑажениÑ. 3. ÐзÑÑение оÑновнÑÑ Ñ Ð°ÑакÑеÑиÑÑик изобÑажениÑ, влиÑÑÑÐ¸Ñ Ð½Ð° его каÑеÑÑво. 4. РеализаÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑиÑмов коÑÑекÑии оÑновнÑÑ Ð¿Ð¾ÐºÐ°Ð·Ð°Ñелей изобÑажениÑ. 5. РеализаÑÐ¸Ñ Ð¿Ð¾Ñоговой ÑÑнкÑии, позволÑÑÑей оÑÑÑеÑÑвлÑÑÑ Ð°Ð²Ñо-коÑÑекÑиÑ. РабоÑа вÑполнена в ÑÑеде ÑазÑабоÑки Matlab и в ÑÑеде ÑазÑабоÑки PyСharm Ñ Ð¸ÑполÑзованием ÑзÑка пÑогÑаммиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python., The theme of the final qualifying work: "Algorithms for the correction of digital images". The purpose of the work is to implement algorithms for correcting image indicators for the implementation of auto-correction. To achieve this goal, the following tasks were set: 1. Study of methods for assessing image quality. 2. Implementation of the method for assessing image quality. 3. Study of the main characteristics of the image that affect its quality. 4. Implementation of algorithms for correcting the main parameters of the image. 5. Implementation of the threshold function, allowing for autocorrection. The work was performed in the Matlab development environment and in the PyCharm development environment using the Python programming language.
- Published
- 2021
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