img.pull-left.img-thumbnail(src=“small-icon.png”) p | Meanwhile, after watching this brilliant talk of the Alexander Soloviov on “Functional Reactive Programming and Closure Script” i decided to study Functional Programming. | Fortunately, there was a active course a(href=“https://class.coursera.org/progfun-003/class/index") Functional Programming Principles in Scala |. p | My first impressions on Scala is… it’s fun! | Thinking in functional programming paradigm makes you think different about your objects and their connection to each other. | And i’m curious how Scala can be used for solving main computer vision problems.
With this post i start describing my experience with a “Image and video processing: From Mars to Hollywood with a stop at the hospital” class. I will write a series of 9 posts each week i complete and highlight interesting tasks and solution to optional programming quizzes in OpenCV. Week 1 The first week was very easy, just an introduction to image processing with explanation of basics and fundamental things.
This is a second part of “Image and video processing: From Mars to Hollywood with a stop at the hospital” class. In optional taks for Week 2 we were asked to test various predictors for JPEG-LS compression algorithm. In this post i want to share my results and discuss how we can achieve better prediction rate. Compare prediction algorithms for loseless image compression Problem statement Compute the histogram of a given image and of its prediction errors.