Method processAutoMode

pixelizer.js:519–554

()

    }

    async processAutoMode() {
        this.showProgress(20, '分析像素块结构...');
        
        // 创建处理canvas
        const canvas = document.createElement('canvas');
        const ctx = canvas.getContext('2d');
        
        // 限制处理尺寸
        const maxSize = 2000;
        const scale = Math.min(1, maxSize / Math.max(this.originalImage.width, this.originalImage.height));
        
        canvas.width = Math.floor(this.originalImage.width * scale);
        canvas.height = Math.floor(this.originalImage.height * scale);
        
        ctx.imageSmoothingEnabled = false;
        ctx.drawImage(this.originalImage, 0, 0, canvas.width, canvas.height);
        
        this.showProgress(40, '检测像素块大小...');
        
        const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
        const detection = this.detectPixelBlockSize(imageData);
        
        this.showProgress(60, '缩放到基准像素...');
        
        // 根据检测结果进行下采样
        if (detection.blockSize > 1) {
            this.basePixelCanvas = this.downsampleToBase(canvas, detection.blockSize);
        } else {
            this.basePixelCanvas = this.pixelateToWidth(canvas, 64); // 默认宽度
        }
        
        this.showProgress(80, '优化颜色...');
        await this.applyColorQuantization();
        
        this.showProgress(100, '完成处理');
    }

    async processManualMode() {
        const targetWidth = parseInt(document.getElementById('targetWidth').value) || 64;