ssim.js - npm Package Compare versions

Comparing version 3.1.1 to 3.1.2

dist/matlab/rgb2gray.d.ts

 import { Matrix } from "../types";
 /**
+ * For an array of pixels of the form [r, g, b] it returns the equivalent grayscale color. These
+ * values are not derived from ITU's recommendation of [0.2126, 0.7152, 0.0722] for [r, g, b] but on
+ * Matlab's implementation of [0.2989, 0.5870, 0.1140]
+ *
+ * Note that values are rounded to ensure an exact match with the original results. I think
+ * rounding them would NOT lead to higher accuracy since the exact values for RGB to grayscale
+ * conversion are somewhat arbitrary (as examplified by the differences between ITU and Matlab).
+ * ± 0.5 pixel differences won't be perceptible for the human eye and will have a small impact on
+ * SSIM. Based on some sample data changes were of the order of 10^-3.
+ *
+ * @method luma
+ * @param {Number} r - The red pixel value
+ * @param {Number} g - The green pixel value
+ * @param {Number} b - The blue pixel value
+ * @returns {Number} lumaValue - The value of the luminance for the [r,g,b] pixel
+ * @private
+ * @memberOf matlab
+ * @since 0.0.2
+ */
+/**
  * Converts an imageData object of { width, height, data } into a 2d matrix [row, column]
@@ -4,0 +24,0 @@ * where the value is the grayscale equivalent of the rgb input.

dist/matlab/rgb2gray.js

@@ -24,5 +24,5 @@ "use strict";
  */
-function luma(r, g, b) {
-    return Math.round(0.29894 * r + 0.58704 * g + 0.11402 * b);
-}
+// function luma(r: number, g: number, b: number): number {
+//   return 0.29894 * r + 0.58704 * g + 0.11402 * b;
+// }
 /**
@@ -43,14 +43,11 @@ * Converts an imageData object of { width, height, data } into a 2d matrix [row, column]
     var d = _a.data, width = _a.width, height = _a.height;
-    var data = new Array(width * height);
-    for (var j = 0; j < height; j++) {
-        for (var i = 0; i < width; i++) {
-            var grayIndex = i + j * width;
-            var imgIndex = grayIndex * 4;
-            data[grayIndex] = luma(d[imgIndex], d[imgIndex + 1], d[imgIndex + 2]
-            // d[imgIndex + 3] // ignore alpha channel
-            );
-        }
+    var uint8Array = new Uint8Array(width * height);
+    for (var i = 0; i < d.length; i += 4) {
+        var grayIndex = i / 4;
+        // See above sections commented out for the luma function to see background
+        // information about these constants.
+        uint8Array[grayIndex] = (0.29894 * d[i] + 0.58704 * d[i + 1] + 0.11402 * d[i + 2]) + 0.5;
     }
     return {
-        data: data,
+        data: Array.from(uint8Array),
         width: width,
@@ -57,0 +54,0 @@ height: height

dist/ssim.web.js

@@ -1,2 +0,2 @@
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i=t.data,a=t.width,n=t.height;void 0===e&&(e=0),void 0===r&&(r=1);for(var d=new Array(i.length),o=0;o<i.length;o++){var u=(i[o]-e)/r;d[o]=Math.exp(-Math.pow(u,2)/2)/(2.5066282746310007*r)}return{data:d,width:a,height:n}}},function(t,e,r){"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.rgb2gray=void 0,e.rgb2gray=function(t){for(var e=t.data,r=t.width,i=t.height,a=new Uint8Array(r*i),n=0;n<e.length;n+=4){a[n/4]=.29894*e[n]+.58704*e[n+1]+.11402*e[n+2]+.5}return{data:Array.from(a),width:r,height:i}}},function(t,e,r){"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.skip2d=void 0,e.skip2d=function(t,e,r){for(var i=e[0],a=e[1],n=e[2],d=r[0],o=r[1],u=r[2],h=Math.ceil((u-d)/o),f=Math.ceil((n-i)/a),l=new Array(h*f),s=0;s<f;s++)for(var c=0;c<h;c++){var v=i+s*a,w=d+c*o;l[s*h+c]=t.data[v*t.width+w]}return{data:l,width:h,height:f}}},function(t,e,r){"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.transpose=void 0,e.transpose=function(t){for(var e=t.data,r=t.width,i=t.height,a=new Array(r*i),n=0;n<i;n++)for(var d=0;d<r;d++)a[d*i+n]=e[n*r+d];return{data:a,height:r,width:i}}},function(t,e,r){"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.ssim=void 0;var i=r(0),a=r(1);e.ssim=function(t,e,r){var n=a.normpdf(function(t){for(var e=Math.floor(t/2),r=new Array(2*e+1),i=-e;i<=e;i++)r[i+e]=Math.abs(i);return{data:r,width:r.length,height:1}}(r.windowSize),0,1.5),d=Math.pow(2,r.bitDepth)-1,o=Math.pow(r.k1*d,2),u=Math.pow(r.k2*d,2);n=i.divide2d(n,i.sum2d(n));var h=a.transpose(n),f=a.conv2(t,n,h,"valid"),l=a.conv2(e,n,h,"valid"),s=i.square2d(f),c=i.square2d(l),v=i.multiply2d(f,l),w=i.square2d(t),g=i.square2d(e),p=i.subtract2d(a.conv2(w,n,h,"valid"),s),y=i.subtract2d(a.conv2(g,n,h,"valid"),c),m=i.subtract2d(a.conv2(i.multiply2d(t,e),n,h,"valid"),v);return o>0&&u>0?function(t,e,r,a,n,d,o,u){var h=i.add2d(i.multiply2d(t,2),o),f=i.add2d(i.multiply2d(e,2),u),l=i.add2d(i.add2d(r,a),o),s=i.add2d(i.add2d(n,d),u);return i.divide2d(i.multiply2d(h,f),i.multiply2d(l,s))}(v,m,s,c,p,y,o,u):function(t,e,r,a,n,d){var o=i.multiply2d(t,2),u=i.multiply2d(e,2),h=i.add2d(r,a),f=i.add2d(n,d);return i.divide2d(i.multiply2d(o,u),i.multiply2d(h,f))}(v,m,s,c,p,y)}},function(t,e,r){"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.originalSsim=void 0;var i=r(0),a=r(1);e.originalSsim=function(t,e,r){var n=a.fspecial("gaussian",r.windowSize,1.5),d=Math.pow(2,r.bitDepth)-1,o=Math.pow(r.k1*d,2),u=Math.pow(r.k2*d,2);n=i.divide2d(n,i.sum2d(n));var h=a.filter2(n,t,"valid"),f=a.filter2(n,e,"valid"),l=i.square2d(h),s=i.square2d(f),c=i.multiply2d(h,f),v=i.square2d(t),w=i.square2d(e),g=i.subtract2d(a.filter2(n,v,"valid"),l),p=i.subtract2d(a.filter2(n,w,"valid"),s),y=i.subtract2d(a.filter2(n,i.multiply2d(t,e),"valid"),c);if(o>0&&u>0){var m=i.add2d(i.multiply2d(c,2),o),b=i.add2d(i.multiply2d(y,2),u),M=i.add2d(i.add2d(l,s),o),_=i.add2d(i.add2d(g,p),u);return i.divide2d(i.multiply2d(m,b),i.multiply2d(M,_))}var j=i.multiply2d(c,2),O=i.multiply2d(y,2),P=i.add2d(l,s),k=i.add2d(g,p);return i.divide2d(i.multiply2d(j,O),i.multiply2d(P,k))}},function(t,e,r){"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.bezkrovnySsim=void 0;var i=r(0),a=r(1);function n(t,e,r){var a=t.data,n=e.data,d=r.bitDepth,o=r.k1,u=r.k2,h=Math.pow(2,d)-1,f=Math.pow(o*h,2),l=Math.pow(u*h,2),s=i.average(a),c=i.average(n),v=i.variance(a,s),w=i.variance(n,c);return(2*s*c+f)*(2*i.covariance(a,n,s,c)+l)/((Math.pow(s,2)+Math.pow(c,2)+f)*(v+w+l))}e.bezkrovnySsim=function(t,e,r){for(var i=r.windowSize,d=Math.ceil(t.width/i),o=Math.ceil(t.height/i),u=new Array(d*o),h=0,f=0;f<t.height;f+=i)for(var l=0;l<t.width;l+=i){var s=Math.min(i,t.width-l),c=Math.min(i,t.height-f),v=a.sub(t,l,c,f,s),w=a.sub(e,l,c,f,s);u[h++]=n(v,w,r)}return{data:u,width:d,height:o}}},function(t,e,r){"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.downsample=void 0;var i=r(0),a=r(1);function n(t,e,r){var i=a.imfilter(t,e,"symmetric","same");return a.skip2d(i,[0,r,i.height],[0,r,i.width])}e.downsample=function(t,e){return"original"===e.downsample?function(t,e,r){void 0===r&&(r=256);var d=Math.min(t.width,e.height)/r,o=Math.round(d);if(o>1){var u=a.ones(o);t=n(t,u=i.divide2d(u,i.sum2d(u)),o),e=n(e,u,o)}return[t,e]}(t[0],t[1],e.maxSize):t}},function(t,e,r){"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.defaults=void 0,e.defaults={windowSize:11,k1:.01,k2:.03,bitDepth:8,downsample:"original",ssim:"fast",maxSize:256}}])}));
 //# sourceMappingURL=ssim.web.js.map

package.json

@@ -7,3 +7,3 @@ {
   "browser": "dist/ssim.web",
-  "version": "3.1.1",
+  "version": "3.1.2",
   "scripts": {
@@ -49,3 +49,3 @@ "format-all": "git ls-files {src,spec}*.{js,json} | xargs yarn format",
     "@semantic-release/npm": "7.0.5",
-    "@types/jest": "26.0.0",
+    "@types/jest": "26.0.10",
     "@types/node": "13.11.1",
@@ -58,20 +58,20 @@ "benchmark": "2.1.4",
     "cz-conventional-changelog": "3.2.0",
-    "eslint": "7.2.0",
-    "eslint-config-airbnb": "18.1.0",
+    "eslint": "7.7.0",
+    "eslint-config-airbnb": "18.2.0",
     "eslint-config-prettier": "6.11.0",
-    "eslint-plugin-import": "2.21.2",
-    "eslint-plugin-jsx-a11y": "6.2.3",
-    "eslint-plugin-react": "7.20.0",
+    "eslint-plugin-import": "2.22.0",
+    "eslint-plugin-jsx-a11y": "6.3.1",
+    "eslint-plugin-react": "7.20.6",
     "image-type": "4.1.0",
-    "jest": "26.0.1",
+    "jest": "26.4.0",
     "nodemon": "2.0.4",
     "prettier": "2.0.5",
     "request": "2.88.2",
-    "semantic-release": "17.0.8",
-    "semantic-release-cli": "5.3.1",
-    "ts-jest": "26.1.0",
-    "ts-loader": "7.0.5",
-    "typescript": "3.9.5",
-    "webpack": "4.43.0",
-    "webpack-cli": "3.3.11"
+    "semantic-release": "17.1.1",
+    "semantic-release-cli": "5.4.0",
+    "ts-jest": "26.2.0",
+    "ts-loader": "8.0.2",
+    "typescript": "3.9.7",
+    "webpack": "4.44.1",
+    "webpack-cli": "3.3.12"
   },
@@ -78,0 +78,0 @@ "config": {

src/matlab/rgb2gray.ts

@@ -23,5 +23,5 @@ import { Matrix } from "../types";
  */
-function luma(r: number, g: number, b: number): number {
-  return Math.round(0.29894 * r + 0.58704 * g + 0.11402 * b);
-}
+// function luma(r: number, g: number, b: number): number {
+//   return 0.29894 * r + 0.58704 * g + 0.11402 * b;
+// }
 
@@ -46,19 +46,11 @@ /**
 }: Matrix | ImageData): Matrix {
-  const data = new Array(width * height);
-
-  for (let j = 0; j < height; j++) {
-    for (let i = 0; i < width; i++) {
-      const grayIndex = i + j * width;
-      const imgIndex = grayIndex * 4;
-
-      data[grayIndex] = luma(
-        d[imgIndex],
-        d[imgIndex + 1],
-        d[imgIndex + 2]
-        // d[imgIndex + 3] // ignore alpha channel
-      );
-    }
+  const uint8Array = new Uint8Array(width * height);
+  for (let i = 0; i < d.length;  i +=4) {
+    const grayIndex = i/4;
+    // See above sections commented out for the luma function to see background
+    // information about these constants.
+    uint8Array[grayIndex] = (0.29894 * d[i] + 0.58704 * d[i+1] + 0.11402 * d[i+2]) + 0.5;
   }
   return {
-    data,
+    data: Array.from(uint8Array),
     width,
@@ -65,0 +57,0 @@ height

No alert changes

Improved metrics

Total package byte prevSize

321012

increased by0.21%

Lines of code

4955

increased by0.22%

No dependency changes