Sharpen Image

No algorithm description given

1. Introduction Uses an unsharp mask to sharpen input image. Pipe your binary input in and get the sharpened image as binary output. Input: (Required): Image Data API Url, Web (http/https) Url, or binary image. (Optional): Output image location. Output: Output image location. 2. Examples Example 1. Parameter 1: Data API Url {
 "image": "data://opencv/SampleImages/husky.jpg"
} Output {
 "output": "data://.algo/temp/output.jpg"
} Example 2. Parameter 1: HTTP Url {
 "image": ""
} Output: {
 "output": "data://.algo/temp/output.jpg"
} Example 3. Parameter 1: HTTP Url Parameter 2: Output file save location. {
 "image": "",
 "location": "data://.algo/temp/test.png"
} Output: {
 "output": "data://.algo/temp/test.png"
} 3. Credits For more information please refer to: Image was retrieved from:

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Cost Breakdown

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1 cr
usage per second
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For additional details on how pricing works, see Algorithmia pricing.

Internet access

This algorithm has Internet access. This is necessary for algorithms that rely on external services, however it also implies that this algorithm is able to send your input data outside of the Algorithmia platform.

To understand more about how algorithm permissions work, see the permissions documentation.

1. Type your input

2. See the result

Running algorithm...

3. Use this algorithm

curl -X POST -d '{{input | formatInput:"curl"}}' -H 'Content-Type: application/json' -H 'Authorization: Simple YOUR_API_KEY'
View cURL Docs
algo auth
algo run algo://opencv/SharpenImage/0.1.10 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import (
  algorithmia ""

input := {{input | formatInput:"go"}}

var client = algorithmia.NewClient("YOUR_API_KEY", "")
algo, _ := client.Algo("algo://opencv/SharpenImage/0.1.10")
resp, _ := algo.Pipe(input)
response := resp.(*algorithmia.AlgoResponse)
View Go Docs
import com.algorithmia.*;
import com.algorithmia.algo.*;

String input = "{{input | formatInput:"java"}}";
AlgorithmiaClient client = Algorithmia.client("YOUR_API_KEY");
Algorithm algo = client.algo("algo://opencv/SharpenImage/0.1.10");
AlgoResponse result = algo.pipeJson(input);
View Java Docs
import com.algorithmia._
import com.algorithmia.algo._

val input = {{input | formatInput:"scala"}}
val client = Algorithmia.client("YOUR_API_KEY")
val algo = client.algo("algo://opencv/SharpenImage/0.1.10")
val result = algo.pipeJson(input)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(output) {
View Javascript Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(response) {
View NodeJS Docs
import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('opencv/SharpenImage/0.1.10')
print algo.pipe(input)
View Python Docs

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("opencv/SharpenImage/0.1.10")
result <- algo$pipe(input)$result
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('opencv/SharpenImage/0.1.10')
puts algo.pipe(input).result
View Ruby Docs
use algorithmia::*;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo("opencv/SharpenImage/0.1.10");
let response = algo.pipe(input);
View Rust Docs
import Algorithmia

let input = "{{input | formatInput:"swift"}}";
let client = Algorithmia.client(simpleKey: "YOUR_API_KEY")
let algo = client.algo(algoUri: "opencv/SharpenImage/0.1.10") { resp, error in
View Swift Docs
  • {{comment.username}}