Show both unfiltered and filtered sinogram

public/UploadImageComponent.js

@@ -12,13 +12,14 @@ export const UploadImageComponent = {
   imageUrl:
     "https://upload.wikimedia.org/wikipedia/commons/e/e5/Shepp_logan.png",
   sinogramUrl: null,
+  filteredSinogramUrl: null, // Added to store the filtered sinogram
   reconstructedUrl: null,
   defaultImageUrl:
     "https://upload.wikimedia.org/wikipedia/commons/e/e5/Shepp_logan.png",
   reconstructionFrames: [],
   currentFrameIndex: 0,
   renderMode: "grayscale", // or "heatmap"
-  useFBP: true,
+  filterType: "ramp", // Added to manage selected filter
 
   drawAngleOverlay(theta) {
     const canvas = this.overlayCanvas;
@@ -57,6 +58,7 @@ export const UploadImageComponent = {
   async loadAndProcess(url, isUploaded = false) {
     this.imageUrl = url;
     this.sinogramUrl = "loading";
+    this.filteredSinogramUrl = null; // Reset filtered sinogram
     this.reconstructedUrl = null;
     m.redraw();
 
@@ -78,18 +80,23 @@ export const UploadImageComponent = {
     this.reconstructionFrames = [];
     this.currentFrameIndex = 0;
 
-    this.reconstructedUrl = await reconstructImageFromSinogram(
+    const reconstructionResult = await reconstructImageFromSinogram(
       this.sinogramUrl,
       undefined,
       (angle, frameUrl) => {
         this.reconstructionFrames.push(frameUrl);
         this.currentFrameIndex = this.reconstructionFrames.length - 1;
-        this.reconstructedUrl = frameUrl;
+        this.reconstructedUrl = frameUrl; // This is the final reconstructed image frame
         m.redraw();
       },
       this.renderMode,
-      this.useFBP
+      this.filterType
     );
+
+    // After all frames are processed, the final reconstructedUrl and filteredSinogramUrl are available
+    this.reconstructedUrl = reconstructionResult.reconstructedUrl;
+    this.filteredSinogramUrl = reconstructionResult.filteredSinogramUrl;
+    m.redraw(); // Ensure UI updates with the final urls
   },
 
   oninit() {
@@ -234,6 +241,22 @@ export const UploadImageComponent = {
                 }),
           ]),
 
+        // Filtered Sinogram Display
+        this.filteredSinogramUrl &&
+          m("div", { class: "mt-10 w-full max-w-md text-center" }, [
+            m(
+              "h2",
+              { class: "text-xl font-semibold text-gray-700 mb-4" },
+              "Filtered Sinogram"
+            ),
+            m("img", {
+              src: this.filteredSinogramUrl,
+              alt: "Filtered Sinogram",
+              class: "rounded shadow max-w-full h-auto mx-auto",
+              style: "width: 100%; max-height: 300px;",
+            }),
+          ]),
+
         m(StepAccordion, { index: 3 }),
 
         // Reconstructed
@@ -272,21 +295,30 @@ export const UploadImageComponent = {
             ]),
 
             m("div", { class: "mt-4 w-full max-w-md text-left" }, [
-              m("label", [
-                m("input", {
-                  type: "checkbox",
-                  checked: this.useFBP,
-                  onchange: (e) => {
-                    this.useFBP = e.target.checked;
-                    this.loadAndProcess(this.imageUrl); // regenerate with or without FBP
-                  },
-                }),
               m(
-                  "span",
+                "label",
-                  { class: "ml-2 text-gray-700" },
+                { class: "text-sm text-gray-600 mr-2" },
-                  "Use Filtered Back Projection (Ramp)"
+                "Filter Type:"
+              ),
+              m(
+                "select",
+                {
+                  class: "p-1 border rounded text-sm",
+                  value: this.filterType,
+                  onchange: (e) => {
+                    this.filterType = e.target.value;
+                    this.loadAndProcess(this.imageUrl);
+                  },
+                },
+                [
+                  m("option", { value: "ramp" }, "Ramp"),
+                  m("option", { value: "shepp-logan" }, "Shepp-Logan"),
+                  m("option", { value: "hann" }, "Hann"),
+                  m("option", { value: "hamming" }, "Hamming"),
+                  m("option", { value: "cosine" }, "Cosine"),
+                  m("option", { value: "none" }, "None"),
+                ]
               ),
-              ]),
             ]),
 
             this.reconstructionFrames.length > 1 &&

public/sinogram.js

@@ -1,4 +1,4 @@
-import { applyRampFilter } from "./fbp.js";
+import { applyFilter } from "./fbp.js";
 
 export async function generateSinogram(
   imageUrl,
@@ -77,7 +77,7 @@ export async function reconstructImageFromSinogram(
   size = 256,
   onFrame = null,
   renderMode = "heatmap",
-  useFBP = true
+  filterType = "ramp"
 ) {
   const sinogramImage = await loadImage(sinogramUrl);
   const canvas = Object.assign(document.createElement("canvas"), {
@@ -113,6 +113,8 @@ export async function reconstructImageFromSinogram(
   const accum = new Float32Array(size * size);
   const center = size / 2;
 
+  const allFilteredProjections = []; // To store filtered projections
+
   for (let angle = 0; angle < angles; angle++) {
     const theta = (angle * Math.PI) / angles;
 
@@ -125,9 +127,9 @@ export async function reconstructImageFromSinogram(
       projection.push(sinogramData[i]);
     }
 
-    if (useFBP) {
+    // Apply the selected filter
-      projection = applyRampFilter(projection);
+    projection = applyFilter(projection, filterType);
-    }
+    allFilteredProjections.push(projection); // Store the filtered projection
 
     for (let y = 0; y < size; y++) {
       for (let x = 0; x < size; x++) {
@@ -170,7 +172,49 @@ export async function reconstructImageFromSinogram(
     }
   }
 
-  return outputCanvas.toDataURL();
+  // Create filtered sinogram image
+  const filteredSinogramCanvas = Object.assign(
+    document.createElement("canvas"),
+    {
+      width: isVertical ? angles : width, // Same dimensions as original sinogram
+      height: isVertical ? width : angles,
+    }
+  );
+  const filteredSinCtx = filteredSinogramCanvas.getContext("2d");
+  const filteredImgData = filteredSinCtx.createImageData(
+    filteredSinogramCanvas.width,
+    filteredSinogramCanvas.height
+  );
+
+  let maxFilteredVal = 0;
+  for (const proj of allFilteredProjections) {
+    for (const val of proj) {
+      if (val > maxFilteredVal) maxFilteredVal = val;
+    }
+  }
+  // Avoid division by zero if maxFilteredVal is 0
+  if (maxFilteredVal === 0) maxFilteredVal = 1;
+
+  for (let angle = 0; angle < angles; angle++) {
+    const currentProjection = allFilteredProjections[angle];
+    for (let x = 0; x < width; x++) {
+      const val = (currentProjection[x] / maxFilteredVal) * 255; // Normalize and scale
+      const px = isVertical ? angle : x;
+      const py = isVertical ? x : angle;
+      const i = (py * filteredSinogramCanvas.width + px) * 4;
+      filteredImgData.data[i + 0] = val;
+      filteredImgData.data[i + 1] = val;
+      filteredImgData.data[i + 2] = val;
+      filteredImgData.data[i + 3] = 255;
+    }
+  }
+  filteredSinCtx.putImageData(filteredImgData, 0, 0);
+  const filteredSinogramUrl = filteredSinogramCanvas.toDataURL();
+
+  return {
+    reconstructedUrl: outputCanvas.toDataURL(),
+    filteredSinogramUrl: filteredSinogramUrl,
+  };
 }
 
 // Heatmap mapping: blue → green → yellow → red