Direct Binary Search with Adaptive Search and Swap

نویسندگان

  • Sagar Bhatt
  • John Harlim
  • Joel Lepak
  • Robert Ronkese
  • John Sabino
  • Chai Wah Wu
چکیده

Grayscale halftoning is the technique of approximating a grayscale image by a black-and-white image. Black-and-white printers use halftoning to replicate grayscale images on paper. The printers have only the black of ink and the white of paper as the colors at their disposal. Although the printers may vary the size of dots they drop, they cannot vary the intensity of the droplets. All droplets are black. The printers therefore actually produce black-and-white halftones instead of grayscale prints. The task is to make the black-and-white image indistinguishable from the grayscale one. We consider a halftoned image to be a good approximation to the original grayscale in the obvious sense: perceptually, the images look like one another. How to quantify this metric, however, is less than obvious. A complete model for the human visual system is an open research problem and must take many things into account: for example, how the eye blurs together nearby pixels, the sensitivity of the eye to changes in texture and luminescence, the attenuated response of the eye to changes along diagonal directions, and how optical illusions fool the brain. Understanding that the approximation problem must take into account visual perception, we define the grayscale halftoning problem:

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Approximation Bound for K-Means clustering of Binary Data

We prove that a p-swap search algorithm for the K-means clustering problem has an approximation bound 3 + 2 p , assuming a binary data set and Euclidean distance. This is tighter than the general bound “ 3 + 2 p ”2 . We also present an example resulting in a cost ratio of 3− . Thus, our bound is almost sharp for the p-swap algorithm.

متن کامل

A Fast Contention-Friendly Binary Search Tree

This paper presents a fast concurrent binary search tree algorithm. To achieve high performance under contention, the algorithm divides update operations within an eager abstract access that returns rapidly for efficiency reason and a lazy structural adaptation that may be postponed to diminish contention. To achieve high performance under read-only workloads, it features a rebalancing mechanis...

متن کامل

Connecting Yule Process, Bisection and Binary Search Tree via Martingales

We present new links between some remarkable martingales found in the study of the Binary Search Tree or of the bisection problem, looking at them on the probability space of a continuous time binary branching process.

متن کامل

Using Greedy Randomize Adaptive Search Procedure for solve the Quadratic Assignment Problem

  Greedy randomize adaptive search procedure is one of the repetitive meta-heuristic to solve combinatorial problem. In this procedure, each repetition includes two, construction and local search phase. A high quality feasible primitive answer is made in construction phase and is improved in the second phase with local search. The best answer result of iterations, declare as output. In this stu...

متن کامل

Profile and Height of Random Binary Search Trees

The purpose of this article is to survey recent results on distributional properties of random binary search trees. In particular we consider the profile and the height.

متن کامل

An efficient hybrid iterated local search algorithm for the total tardiness blocking flow shop problem

This paper deals with the blocking flow shop problem and proposes an Iterated Local Search (ILS) procedure combined with a variable neighbourhood search (VNS) for the total tardiness minimization. The proposed ILS makes use of a NEH-based procedure to generate the initial solution, uses a local search to intensify the exploration which combines the insertion and swap neighbourhood and uses a pe...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005